Qualification: 
Ph.D, M.Tech
aryadevird@am.amrita.edu

Dr. Aryadevi R. D. presently serves as an Assistant Professor and leading the Intelligent Infrastructure group at Amrita center for Wireless Networks and Applications, Amrita Vishwa Vidyapeetham, India. She holds a PhD. in the area of hybrid communication architectures for smart distribution grid. Her research interests include smart grids, IoT systems, sensor networks, communication architectures for smart grids etc. She was an active member of Indo-European collaborative project on Energy Research in Smart Energy Grids named as Stabilize-E. She was also involved in designing India’s first remote triggered lab in the area of Computer Science. Dr. Aryadevi was awarded TCS research scholarship under TCS research scholar program.

Education

  • Ph. D. in Faculty of Engineering
    Title : Hybrid Communication Architectures and Algorithms for Smart Grids
    Department : Center for Wireless Networks and Application, Amrita Vishwa Vidyapeetham, Kerala, India.
  • M.Tech.
    Wireless Networks & Applications
    Amrita Vishwa Vidyapeetham, Kerala, India
  • B.Tech.
    Electronics and Communication Engineering
    Kerala University, Kerala, India.

Professional Experience : (2011 to current)

  • Assistant Professor & Group Leader:
    December 2018 - till now
    Intelligent Infrastructure Group
    Institution : Amrita Center for Wireless Networks and Applications, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kerala, India
  • Group Leader & Research Associate:
    January 2016 - December 2018
    Smart Energy Systems and Solutions Group
    Institution : Amrita Center for Wireless Networks and Applications, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kerala, India
  • Research Associate :
    August 2011 - May 2013, December 2013 - December 2015
    Institution : Amrita Center for Wireless Networks and Applications, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kerala, India
  • Internship :
    June 2013 - November 2013
    Institution : ETH, Zurich
    Research Group : Communication Systems

Teaching Experience (2011 to current)

Graduate Courses

  • Principles of Wireless Communications (June - November 2019)
  • Design of Wireless Sensor Networks (January - May 2019))
  • Research Methodology (January - May 2019)
  • Wireless Sensor Networks (Teaching Assistant) (2014, 2018)
  • Research Learning and Problem Formulation (Teaching Assistant) (2015)
  • Embedded System Design (Teaching Assistant) (2014)
  • Principles of Multimedia Systems (Teaching Assistant) (2012)
  • Fundamentals of Wireless Communications (Teaching Assistant) (2011, 2012, 2014, 2015,2018)

Under Graduate Courses

  • Wireless Sensor Networks (June - November 2019)

Research Experience

Sponsored Research

  • Project 1: “Stabiliz-Energy”
    Duration : 2014- 2018
    Agency : DST, Government of India
    Member of the project team that developed the communication architecture and different algorithms for smart distribution grid.
  • Project 2 : “Wireless Remote Sensing, Experimentation, Monitoring and Administration Lab”
    Duration : 2011- 2014
    Agency : Ministry of Human Resources and Development, Government of India.
    Member of the project team that developed the virtual and remote triggered wireless sensor network experiments for educational purposes.

Achievements

  • 3rd Best paper award for the paper titled “User Centered Energy Management Scheme for Smart Buildings” in 6th International Conference on Advances in Computing, Communications and Informatics, 2017.
  • Got TCS research fellowship under TCS research scholar program (July 2013 - July 2017).
  • Got silver medal for Master’s graduation.

Recent Publications

  • “Using CPS Enbled micro grid System for optimal power utilization and supply strategy” in Energy and Buildings, Elsevier, 2017.
  • “High performance communication architecture for smart distribution power grid in developing nations” in Wireless Networks: The Journal of Mobile Communication, Computation and Information, Springer, 2016.
  • “Power theft detection in microgrids.” in 4th International Conference on Smart Cities and Green ICT Systems – SMARTGREENS 2015, Portugal.
  • “Improving reliability and quality of supply (QoS) in smart distribution network” in National Power System Conference, 2016 India.

Publications

Publication Type: Conference Paper

Year of Publication Title

2018

D. C. Sol, Arya Devi R. D., S, A. M., and Ramesh, M. V., “Design and Implementation of Context Aware Cyber Physical System for Sustainable Smart Building”, in 2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), Kajang, Malaysia, 2018.[Abstract]


This article introduces a practical and real approach to the implementation of a cyber physical system for the intelligent management of energy consumption in a traditional building. The main objective of this research work has been to deploy a context aware cyber physical system to analyze the behavior of key physical parameters in order to optimize the energy consumption with a minimum degradation of the working conditions of the users. The scope of the project has been limited to design and develop a prototype to study the technical and economic viability of the implementation of this kind of technology. The paper also presents a detailed analysis on the electrical systems and their possibilities to increase the efficiency in terms of energy and cost savings. This is the case of the lighting system whose behavior has shown how a 3% of the energy consumption can be saved. The study conducted proves the current economical non-viability of cyber physical systems in traditional buildings for their energy management. Nevertheless, the non-developed nor marketed technologies which will allow their technical and economic viability have been identified and described.

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2018

N. B. Sai Shibu, Arya Devi R. D., Ramesh, M. V., Sukumar, G. M., and Macharla, V. R., “Improving Rural Electrification through Interconnected Solar Micro Grids”, in 2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), Kajang, Malaysia, 2018.[Abstract]


Renewable energy based rural electrification system experiences fluctuation in generation efficiency due to various unpredictable dynamic changes such as solar irradiation levels, rainfall, dust accumulation, vegetation, etc. Due to these fluctuations the system experiences frequent power quality issues such as low voltage, power interruptions, operating frequency deviation, etc., leading to the degradation of the performance and reliability of these solar micro grid systems. In this paper micro grid cluster interconnection methodology is proposed to improve the efficiency of the system. To develop real-time decisions on energy management and micro grid interconnections, we have designed an IoT system that is capable to monitor and learn the dynamic changes in power quality to control the subsystems for improving the quality of service. In this work we have analysed the need of such a system in one of the rural community having solar micro grid deployment in South India. Based on the needs we have designed and developed an end-to-end system consisting of perception layer, network layer and application layer. Detailed experimentation and evaluation was performed in our laboratory and the performance results are discussed in this paper.

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2017

S. R. George, Arya Devi R. D., and Dr. Maneesha V. Ramesh, “Smart Personalized Learning System for Energy Management in Buildings”, in 2017 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC), 2017.[Abstract]


Integration of energy management systems into existing buildings brings in several challenges and financial constraints. Some of the challenges in the existing smart building solutions are that they require large-scale deployment of sensors, high rate of data collection, real-time data analysis in short span of time, and lack of knowledge about the energy usage with respect to the behavior of individuals and groups. This work proposes an affordable wearable device system as an alternative for large-scale deployment of sensors in industrial buildings. For effective energy management in the buildings, a personalized behavior analysis has been done in machine learning and neural networks algorithm and integrated with the proposed system. The complete system is implemented and tested extensively. The results show that the proposed system could provide 85% user comfort and 23% energy savings.

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2017

K. Athira, Arya Devi R. D., Dr. Maneesha V. Ramesh, and Rangan, V. P., “User Centered Energy Management Scheme for Smart Buildings”, in 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017.[Abstract]


Because power grids experience dynamic variations in energy generation and demand, inclusion of renewable energy alone will not assure self-sustainability of smart buildings. Energy sustainability can be achieved by developing an energy friendly, context aware wireless sensor network which is overlaid on the existing electrical network. This smart environment is supported by efficient algorithms for dynamic energy management in smart buildings. Generally, the home energy management system has different functions. These include a) controlling the energy consumption at peak times, b) updating consumers about the real time power consumption inside the home area network, and c) helping the consumer to schedule the operation of appliances based on the real time pricing from the utility company. Also it is very important to analyze how the users can minimize electricity bills while achieving electrical energy conservation with a reasonable level of consumer comfort. The proposed availability based management algorithm (AMA) enhances the existing home energy management system by helping the consumers to supervise and control their monthly electricity tariff payment. The AMA performs an advance initial distribution of energy for upcoming days which helps to keep the power consumption of the residence within a stipulated limit. This research explains and demonstrates, using real data collected from an office building case example, how the AMA works in different scenarios. The results show that the AMA offers effective management of monthly tariff and energy consumption in variable use cases. From the experimentation result, the proposed system achieves 65.08% deduction in energy consumption with the energy unaware system and 30.16% deduction in energy consumption with pattern based energy management system.

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2017

V. Mohan, Garcia, V. C., Frey, M. L. M., Dr. Maneesha V. Ramesh, Arya Devi R. D., Sai Shibu N. B., R. Mohan, and Manoj P., “Assessing Village Power Grid Problems for Development of Quality and Stable Supplemental Sustainable Energy”, in 2017 IEEE Global Humanitarian Technology Conference (GHTC), 2017.[Abstract]


The UN Millennium Development Goals have in recent years understood and emphasized the critical connection between rural poverty and health issues, and lack of any or proper electrification. Although Indian village electrification has been a priority for the government for a number of years, it is a huge task given the millions of households residing in rural areas. Further, not all claims of village electrification reflect actual access to the grid nor consistent quality of access, when available. This paper addresses an assessment of electrification challenges in villages, as well as potential renewable resource availability. In response to electrification concerns expressed by villagers in the state of Jharkhand, a functional assessment of the existing grid was conducted, as well as an assessment of personal, business, and community electrification needs expressed by villagers. Multiple problems were discovered and are reported here. With village participation, alternative sustainable energy sources were explored, and the most feasible alternative sources to meet village needs for sustainable, reliable energy supplementing the current grid were identified. This paper also presents a detailed needs-assessment of villagers which will influence the potential sustainable energy solution.

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2016

P. Korada and Arya Devi R. D., “Studying the impact of AC-microgrid on the main grid and it's fault analysis”, in 2016 Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy (PESTSE), Bangalore, India, 2016.[Abstract]


This paper studies the advantages of using AC-microgrids and the impact of Distributed Generators (DG's) on the main grid by studying its voltage, power flow and calculating the losses in radial as well as meshed networks. For this paper, a grid of 4 houses and 3 DG's is modelled and simulated and the results were presented and analyzed. Fault analysis is conducted on the meshed system and the inferences were drawn. It is found out that due to the integration of Distributed Generators, the power is consumed locally and hence the active and reactive power losses in the system are also minimized. Based on the simulation results conclusions were drawn.

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2016

Balaji Hariharan, P. Venkat Rangan, Simi Surendran, Rekha, P., Arya Devi R. D., and Dr. Maneesha V. Ramesh, “Delay and energy optimization in multilevel balanced WSNs for landslide monitoring”, in 2016 IEEE Global Humanitarian Technology Conference (GHTC), 2016.[Abstract]


In most of the real world wireless sensor network deployments, the energy utilization is a critical factor as the nodes are battery powered. In most of the real-world deployments it is observed that the sensing subsystem consumes higher power. In order to extend the lifetime of such systems it is required to reduce the sensing energy than communication energy. We have deployed a system for monitoring Landslides in India consists of 150 geo-physical sensors and used solar panels to power these sensor nodes. The decision making in favor of Landslide occurrence is based on the maximum values obtained from the high priority sensors. As this maximum value is not frequently changing in the deployment, locating the sensor node with maximum value allows us to switch off the other sensors for a predetermined period of time. This work proposes an optimal balanced network topology for delay minimization by parallelizing data aggregation operation in each sub-network. The sensor node switch off schemes on the top of delay minimized topology enables the optimal utilization of the available solar power. The analysis of these mechanisms shows that, more number of nodes can be powered with the available source of energy and can increase the network life time.

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PDF iconDelay-and-energy-optimization-in-multilevel-balanced-WSNs-for-landslide-monitoring.pdf

2016

P. Kirti Gupta, Martins, R., Chakarbarti, S., Arya Devi R. D., Mäki, K., Krishna, G., Schätz, B., Dr. Maneesha V. Ramesh, and Singh, S. N., “Improving reliability and quality of supply (QoS) in smart distribution network”, in National Power Systems Conference (NPSC), 2016 National, 2016.[Abstract]


Smart distribution grids will be a combination of existing electrical networks controlled by distributed software applications communicating via communication networks. This means that not only the reliability of individual technologies are crucial, but the interoperability is also pivotal for the robustness of the smart distribution network. These individual research areas (electrical network, distributed software controller and communication network) have their corresponding fault handling strategies and several proven solutions exist to ensure reliability. The objective of our work is to integrate the solutions from these individual technologies. We focus on the interoperability and integration of individual fault handling strategies that are essential for improving the reliability and robustness of the overall smart distribution network. In this paper, we describe our approach in creating a single solution from the existing individual strategies to create a robust smart distribution network. We also present the details of the demonstrator design that is being built to evaluate our approach.

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PDF iconImproving-reliability-and-quality-of-supply-(QoS)-in-smart-distribution-network.pdf

2016

A. M. S, K, A., Arya Devi R. D., and Dr. Maneesha V. Ramesh, “A Smart Positioning System for Personalized Energy Management in Buildings”, in 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2016, pp. 742-747.[Abstract]


Energy consumption in official buildings contributes to 42% of total energy generation in India. The key features in commercial buildings are usage of high energy consuming devices, long duration of usage of electrical equipments, large population density and large equipment density compared with the floor area usage in houses. Hence this problem has motivated to perform research on energy management in official buildings. The individuals in these buildings mostly have unique authority on most of the equipments they handle, and they have their own comfort level requirement based on the context and the equipment availability. Therefore, to devise an effective energy management solution it is required to consider personal requirements with highest priority than the community requirements. Hence in this research work we design and develop systems & solutions needed for Personalized Energy Management (PEM). Our proposed system is developed to capture the spatio-temporal data of context and electrical usage pattern for each individual with bare minimum sensors. To address this challenge, we proposed a smart positioning system (SPS) for personalized energy management. In SPS, we have developed an Real time Smart Positioning System (RSPS) algorithm for integrating electrical map and sensing coverage of electrical appliances inside a building to position the individual in real-time with respect to each of the electrical appliances. Using SPS, the current position of an individual inside the building is determined along with the position of nearby electrical appliances to automate the appliance usage. This is performed using the proposed RSPS algorithm where real-time mapping of electrical map, sensing coverage of nearby equipments, signal strength, and pattern of individual requirements are used to control usage of equipments related to individual's choice. Experimental analysis of the RSPS algorithm on our prototype has been performed and the results showed that it requi- es a minimum of 2 coverage and it is not required to have 3 coverage as in other localization algorithms. Under the above condition of 2 coverage this algorithm was able to achieve an accuracy of 90%.

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PDF iconA-Smart-Positioning-System-for-Personalized-Energy-Management-in-Buildings.pdf

2015

Dr. Maneesha V. Ramesh, Mohan, N., and Arya Devi R. D., “Micro grid architecture for line fault detection and isolation”, in Smart Cities and Green ICT Systems (SMARTGREENS), 2015 International Conference on, 2015.[Abstract]


One of the major problems power grids system face today is the inability to continuously deliver power at the consumer side. The main reason for this is the occurrence of faults and its long term persistence within the system. This persistence of faults causes the cascading failure of the system, thereby adversely affecting the connected loads. Traditional methods of fault isolation cause the shutdown of power to a large area to maintain the system stability. Today, localization of faults and its isolation is doing manually. Therefore, a localized fault recovery mechanism is very essential to maintain the system’s stability after the occurrence of a fault. In this paper, we have developed fast fault detection and isolation mechanism for single phase to neutral line fault in a three phase islanded micro grid scenario. The fault detection and isolation during the islanded operation mode of a micro grid is very critical, since bidirectional power flow is present. The fault detection mechanism we developed can detect and isolate the fault within a few milliseconds and localize the fault within a two second delay for both in single and bi-directional power flow scenarios. The proposed system is capable of locating the exact faulted segment with the aid of the communication network integrated into the power grid. The implemented system was tested with different ranges of fault current and the analysis showed that the proposed system could localize the fault with less than a two second delay.

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PDF iconMicro-Grid-Architecture-for-Line-Fault-Detection-and-Isolation.pdf

2015

Sangeeth K., Preeja Pradeep, P., D., Rekha, P., Arya Devi R. D., L., S., and Dr. Maneesha V. Ramesh, “A Remote Code Editing Framework for AMRITA Remote Triggered WSN Laboratory”, in 5th International Conference on IT Convergence and Security (ICITCS), Malaysia, 2015.[Abstract]


Our AMRITA remote triggered lab (RT Lab) for wireless sensor networks (WSN) offer the students and researchers, an easy, efficient, interactive and user friendly environment to trigger their inquisitiveness by providing them with the sensors, equipments, hardwares and study materials for conducting the lab experiments. RT Lab offers a web-based e-learning platform for the registered users to perform experimentation and coding remotely based on the provided study materials which are shared to them virtually. The users can learn nesC programming language and conduct the coding by means of the code editing interface. The sensor nodes in the WSN testbed, deployed in indoor and outdoor environment, undergoes remote reconfiguration and the sensor data's are collected by the WSN gateway. The users can observe the experimentation result such as the plotted sensor data and physical representation of the sensor network along with the remote video through the visualization tool. The paper details the design and implementation of remote code editing platform for RT Lab.

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PDF iconA-Remote-Code-Editing-Framework-for-AMRITA-Remote-Triggered-WSN-Laboratory.pdf

2015

Preeja Pradeep, P., D., Arya Devi R. D., Rekha, P., Sangeeth K., Tinu Vinod, and Dr. Maneesha V. Ramesh, “An Energy Aware Schedule Based Remote Triggered Wireless Sensor Network Laboratory”, in 5th International Conference on IT Convergence and Security (ICITCS), Malaysia, 2015.[Abstract]


Over the past decade, experimentation for wireless sensor network (WSN) has been widely used to enrich the learning experience of educators and learners. Our remote triggered WSN laboratory is a multi-set, multi-group, WSN experimental setup that provides an intuitive web-based interface to carry out remote experimentation as well as code editing by registered users. This paper presents a multi-level time based scheduling algorithm for our lab which provides optimum utilization, performance and service. Our WSN testbed consists of more than 150 sensor nodes deployed in indoor and outdoor environment. Energy efficiency and delay optimization of WSN testbed are ensured in the design which employs TDMA and state transition schemes. We have implemented and tested two approaches for energy efficiency namely an on demand scheduling and a TDMA based approach which incorporates state transition and CDMA. The performance evaluation result shows that 78% power consumption has been reduced in second approach compared to first. The paper details the implementation of energy efficiency with dynamic scheduling for our real-time remote triggered WSN.

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PDF iconAn-Energy-Aware-Schedule-Based-Remote-Triggered-Wireless-Sensor-Network-Laboratory.pdf

2015

Arya Devi R. D., George, S. R., and Dr. Maneesha V. Ramesh, “A system for energy conservation through personalized learning mechanism”, in SMARTGREENS 2015 - 4th International Conference on Smart Cities and Green ICT Systems, Proceedings, 2015, pp. 357-363.[Abstract]


Several challenges exist in developing smart buildings such as the development of context aware algorithms and real-time control systems, the integration of numerous sensors to detect various parameters, integration changes in the existing electrical infrastructure, and high cost of deployment. Another major challenge is to optimize the energy usage in smart buildings without compromising the comfort level of individuals. However, the success of this task requires in depth knowledge of the individual and group behaviour inside the smart building. To solve the aforementioned challenges, we have designed and developed a Smart Personalised System for Energy Management (SPSE), a low cost context aware system integrated with personalized and collaborative learning capabilities to understand the real-time behaviour of individuals in a building for optimizing the energy usage in the building. The context aware system constitutes a wearable device and a wireless switchboard that can continuously monitor several functions such as the real-time monitoring and localization of the presence of the individual, real-time monitoring and detection of the usage of switch board and equipment, and their time of usage by each individual. Using the continuous data collected from the context aware system, personalized and group algorithms can be developed for optimizing the energy usage with minimum sensors. In this work, the context aware system was tested extensively for module performance and for complete integrated device performance. The study found the proposed system provides the opportunity to collect data necessary for developing a personalized system for smart buildings with minimum sensors.

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PDF iconA-System-for-Energy-Conservation-Through-Personalized-Learning-Mechanism.pdf

2015

Arya Devi R. D. and Dr. Maneesha V. Ramesh, “Power theft detection in microgrids”, in SMARTGREENS 2015 - 4th International Conference on Smart Cities and Green ICT Systems, Proceedings, 2015, pp. 342-349.[Abstract]


Theft of electricity amounts to 1.5% GDP, of most of the developing nations like India. Hence there is a great need to detect power thefts in developing nations. In this paper, we have proposed a wireless network based infrastructure for power theft detection which caters to other functional requirements of the microgrid such as renewable energy integration, automatic meter reading etc. Algorithm for power theft detection (PTDA) which is proposed in this paper, works in the distributed intelligent devices of the microgrid infrastructure for power theft detection. The coordinated action of intelligent devices with PTDA in the microgrid infrastructure enables not only the detection of power theft, but the localization of power theft in the micro-grid. PTDA increases the 1) cost of communication 2) energy consumption of intelligent devices 3) packet latency, if any critical data is piggy backed with power theft data in micro-grid. To solve these issues, we have proposed EPTDNA (Efficient Power Theft Data Networking Algorithm) which uses the frequency of power theft detection and average power draw for power theft, for the efficient routing of power theft. The performance analysis and results given in this paper shows how EPTDNA solves the major issues with PTDA.

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PDF iconPower-Theft-Detection-in-Microgrids.pdf

2015

P. Rekha, P., D., Arya Devi R. D., Preeja Pradeep, K, S., K, R., and Dr. Maneesha V. Ramesh, “A Remote Triggered Laboratory for Wireless Sensor Network Experimentation”, in ICCTS2015, 2015.[Abstract]


In this paper, we present a real time remote triggered laboratory which has multi-set, multi-group of wireless sensor network experimental setup which is envisioned to provide a practical experience of designing and implementing wireless sensor networks’ algorithms in both indoor and outdoor conditions. The architecture provides a remote code editing mechanism using deluge protocol that offers the user a flexible environment for the experimentation. Central and local authentication agents serve a two level security mechanism which makes the system robust to security threats. The lab is accessible for all the students in the world through internet and it will provide an intuitive web-based interface, where registered users can access the code and do code editing.

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PDF iconA-Remote-Triggered-Laboratory-for-Wireless-Sensor-Network-Experimentation.pdf

2015

Preeja Pradeep, P., D., Arya Devi R. D., Rekha, P., Sangeeth, K., and Dr. Maneesha V. Ramesh, “A Remote Triggered Wireless Sensor Network Testbed”, in 2015 Wireless Telecommunications Symposium (WTS), 2015.[Abstract]


This paper presents a remote triggered wireless sensor network (WSN) testbed used to facilitate multi-user remote access to the WSN experiments for virtual learning of wireless sensor network concepts. This testbed provides multiset, multi-group of WSN experimental setup that is capable to provide opportunity to perform remote code editing using over the air programming mechanism. This testbed also provides an intuitive web-based interface to the registered users for running the experiments, accessing and editing the source code of the experiment from anywhere in the world by means of internet. This remote triggering mechanism offers the user a flexible environment for the experimentation. An experimentation setup of 150 wireless sensor nodes are developed to suit the design of both indoor and outdoor experiments. The outdoor lab setup allows the users to learn the wireless propagational effects in the real environment. The WSN indoor lab setup comprises of nine sensor network experiments which allows the users to learn the WSN concepts such as configuring a WSN, clustering mechanisms, time synchronization mechanisms and experience the practical implementation in real time. This test bed offers the researchers and students an opportunity to trigger their inquisitiveness by providing the access to remote equipments and materials needed for the experimentation, shared via virtual manner wherein the experiment conduction and output observation can be performed online through an effective visualization tool.

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PDF iconA-Remote-Triggered-Wireless-Sensor-Network-Testbed.pdf

2013

Arya Devi R. D., Subeesh, T. S., and Dr. Maneesha V. Ramesh, “Design and Implementation of User Interactive Wireless Smart Home Energy Management System”, in Advances in Computing, Communications and Informatics (ICACCI), 2013 International Conference on, 2013.[Abstract]


Electricity usage is increasing day by day due to the changing life style of home user and an increase in appliances in the home area network. Our proposed home energy management system for home users will monitor, manage and control the usage of home appliances, by reducing the monthly electricity bill. The proposed wireless architecture consists of an appliance control device called Wireless Enabled Electricity Manager (WEEMAN) installed next to a switch board or every device/appliance in a room. The central node called smart meter runs an algorithm called Availability Based Energy Management algorithm. This algorithm learns about the previous usage patterns of the appliances, collects real time power consumption of appliances from WEEMAN to generate efficient energy load patterns. The highpoint of the algorithm is that it gives an option for the user to set their monthly current bill and pro-actively control the operation of all the appliances according to the amount. We have developed a hardware test bed consisting of WEEMAN connected to some selected appliances and a smart meter to control every WEEMAN.

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PDF iconDesign-and-Implementation-of-User-Interactive-Wireless-Smart-Home-Energy-Management-System.pdf

2013

Arya Devi R. D., Anilesh, S., Robert, F., and Dr. Maneesha V. Ramesh, “Smart Device for Optimal Use of Stored Renewable Power”, in Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013, Langkawi, 2013, pp. 732-737.[Abstract]


One of the major challenges faced by Indian power grid system are the excess use of energy and that results in the imbalance in the power generated and power consumed. The utility regulates the amount of consumption by introducing power cuts and time of use billing methods leading to decrease in the comfort level of consumers. A design for a smart control device, for efficient use of stored renewable energy, is proposed in this paper. The proposed system has a number of aspects. Firstly, this proposed system collects and analyses user consumption data. Dependent on the data the system makes a decision on the source of power to be made available: either renewable power from a battery or power from the grid. The system also calculates the amount of power to be stored, in a storage device. In addition, the system is able to make decisions on who gets priority to continue receiving power in the case of power shortage/failure. We simulated some of the basic system capabilities to switch the source of power depending on: the peak time, consumption of user, and the amount of battery power remaining. The results show that dependency of power from the grid is reduced and by setting priority of device, continuity of service is achieved. Our results indicate that power dependency from the grid can be reduced to 70-80% during peak hours and continuity of service can be achieved for critical devices during power failure. © 2013 IEEE.

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PDF iconSmart-Device-for-Optimal-Use-of-Stored-Renewable-Power.pdf

2013

K. A. Unnikrishn Menon, Menon, V. N., and Arya Devi R. D., “A novel approach for avoiding water vessel collisions using passive acoustic localization”, in International Conference on Communication and Signal Processing, ICCSP 2013 - Proceedings, Melmaruvathur, Tamilnadu, 2013, pp. 802-806.[Abstract]


The safety of fishermen in small fishing vessels is of continuing concern as there are many reports of fishing vessel - ship collisions along the Western coast of India. These accidents are mainly caused due to the over reliance on the radar systems which fail to detect small boats or due to the negligence from the side of the shipping crew. This paper proposes the architecture of an affordable warning system that can be implemented onboard the fishing vessels to warn the vessel crew about the approaching vessels. This system exploits the principle of underwater passive acoustics for designing a more reliable and user friendly system based on hydrophones for localizing the nearby vessels. A novel algorithm based on time difference of arrival and law of cosines which resolves the quadrant error and quadratic root ambiguity is discussed in this paper. The simulation result of the algorithm is also presented. © 2013 IEEE.

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2013

Arya Devi R. D., Subeesh, T. S., and Dr. Maneesha V. Ramesh, “Smart architecture for home area electrical grid in India”, in IFIP International Conference on Wireless and Optical Communications Networks, WOCN, Bhopal, Madhya Pradesh, 2013.[Abstract]


One of the major problems, which the Indian electrical grid faces, is the lack of an efficient power management scheme. The proposed communication terminology supports the management of power in the home environment. Real time awareness is provided to the customers regarding extra power consumption. In peak power consumption periods, the consumer can chose to incur the financial charges by using all their home appliances or be supported to operate any appliance they wish by switching off some other lower priority appliances. These smart electrical homes also support authorities to control the extra power requirement during peak hours. © 2013 IEEE.

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PDF iconSmart-Architecture-for-Home-Area-Electrical-Grid-in-India.pdf

2012

Dr. Maneesha V. Ramesh, Jacob, A., and Arya Devi R. D., “Participatory Sensing Platform to Revive Communication Network in Post-Disaster Scenario”, in 2012 21st Annual Wireless and Optical Communications Conference, WOCC 2012, Kaohsiung, 2012, pp. 118-122.[Abstract]


Disaster responses are severely hindered due to the destruction or non-availability of the communication network. This research work proposes mobile adhoc network architecture integrated with participatory sensing concepts, for reviving the communication network in disaster hit areas. The development of such an architecture requires a new routing methodology to cater to the challenging environment. This paper proposes a design that utilizes the existing the mobile devices such as smartphones, laptops, etc. in the field to provide the required communication facility. The mobile adhoc network architecture proposed is implemented and tested using several android based mobile phones. An android application named Android app for Emergency Communication (AEC) was developed and it enabled users to send messages to emergency services as well as their dear ones even when they are in regions with no cellular coverage. © 2012 IEEE.

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PDF iconParticipatory-Sensing-Platform-to-Revive-Communication-Network-in-Post-Disaster-Scenario.pdf

2012

Dr. Maneesha V. Ramesh, Jacob, A., and Arya Devi R. D., “Enhanced Emergency Communication using Mobile Sensing and MANET”, in ACM International Conference Proceeding Series, Chennai, 2012, pp. 318-324.[Abstract]


Emergency response services are often delayed due to the destruction or non-availability of the communication network. This research work proposes Mobile Adhoc NETwork (MANET) architecture integrated with mobile sensing concepts, for reviving the communication network in disaster hit areas. Mobile sensing in emergency scenarios can very well address issues like victim localization etc. and offer help in providing specific information about the affected area to the responders and control stations. This paper proposes a design that utilizes the existing the mobile devices such as smartphones, laptops, etc. in the field to provide the required communication facility. A new buffer system powered flooding methodology is also proposed to cater to the challenging environment. The mobile adhoc network architecture proposed is implemented and tested using several android based mobile phones. An android application named Android app for Emergency Communication (AEC) was developed and it enabled users to send messages to emergency services as well as their dear ones even when they are in regions with no cellular coverage. © 2012 ACM.

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PDF iconEnhanced-Emergency-Communication-using-Mobile-Sensing-and-MANET.pdf

2012

Dr. Maneesha V. Ramesh, Jacob, A., and Arya Devi R. D., “Participatory Sensing for Emergency Communication via MANET”, in Proceedings - 2012 International Conference on Data Science and Engineering, ICDSE 2012, Cochin, 2012, pp. 181-186.[Abstract]


Most large-scale disasters are characterized by breakdown of essential communication systems. The failure of telecommunication system reduces the pace of emergency response and relief efforts. The paper is confined mainly on how communication can be carried even when a cellular network is down. The proposed system designs a participatory system for emergency communication. The existing participatory sensing systems have not addressed the issues arising when an area is hit with a disaster. By creating mobile ad hoc network of smart phones, it would be possible to allow messages requesting help to pass between phones until they are intercepted by a node which can directly connect to the cellular network or internet. An algorithm for routing the message in such a network is presented. It also showcases an android application called Android app for Emergency Communication (AEC) which would perform this task. © 2012 IEEE.

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PDF iconParticipatory-Sensing-for-Emergency-Communication-via-MANET.pdf

2011

Arya Devi R. D. and Dr. Maneesha V. Ramesh, “Smart Distribution Electrical Grid for India”, in ACWR 2011 - Proceedings of the International Conference on Wireless Technologies for Humanitarian Relief, Amritapuri, 2011, pp. 541-542.[Abstract]


The smart grid is a new technology that adds efficiency to the electrical grid system. The smart distribution grid architecture proposed in this research work solves major problems faced by the Indian electrical grid such as wastage of energy by the careless usage of consumers, poor power theft and line fault detection method, and manual billing system. The intelligent devices that are placed in different parts of the distribution electrical grid together with the intelligent controlling system make the electrical grid smart.

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PDF iconSmart-Distribution-Electrical-Grid-for-India.pdf

2010

Arya Devi R. D. and Dr. Maneesha V. Ramesh, “Wireless Smart Grid Design for Monitoring and Optimizing Electric Transmission in India”, in Proceedings - 4th International Conference on Sensor Technologies and Applications, SENSORCOMM 2010, Venice, Mestre, 2010, pp. 637-640.[Abstract]


Electricity losses in India during transmission and distribution are extremely high and vary between 30 to 45%. Wireless network based architecture is proposed in this paper, for monitoring and optimizing the electric transmission and distribution system in India. The system consists of multiple smart wireless transformer sensor node, smart controlling station, smart transmission line sensor node, and smart wireless consumer sensor node. The proposed software module also incorporates different data aggregation algorithms needed for the different pathways of the electricity distribution system. This design incorporates effective solutions for multiple problems faced by India's electricity distribution system such as varying voltage levels experienced due to the varying electrical consumption, power theft, manual billing system, and transmission line fault. The proposed architecture is designed for single phase electricity distribution system, and this design can be implemented for three phase system of electricity distribution with minor modifications. The implementation of this system will save large amount of electricity, and thereby electricity will be available for more number of consumers than earlier, in a highly populated country such as India. The proposed smart grid architecture developed for Indian scenario, delivers continuous real-time monitoring of energy utilization, efficient energy consumption, minimum energy loss, power theft detection, line fault detection, and automated billing. © 2010 IEEE.

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PDF iconWireless-Smart-Grid-Design-for-Monitoring-and-Optimizing.pdf

Publication Type: Journal Article

Year of Publication Title

2017

Dr. Maneesha V. Ramesh, ., A. K., VenkatRangan,, and Arya Devi R. D., “Using CPS Enabled Microgrid System for optimal power utilization and supply strategy”, Energy and Buildings, vol. 145, pp. 32-43, 2017.[Abstract]


Because the power grid experiences dynamic variations in energy generation and demand, inclusion of renewable energy alone will not assure self-sustainability of the grid system. Energy sustainability can be achieved by developing Cyber Physical System enabled smart buildings capable of dynamic energy management. In this research work, we propose the architecture for CPS enabled sustainable buildings integrated with Distributed Energy Generators (DEG). We have developed three algorithms, namely, Equipment Classification Algorithm (ECA), Context Aware Room Energy Utilization (CAREU), and Availability based Management Algorithm (AMA), for dynamic energy management to attain energy sustainability of smart buildings, and optimization models for profit maximization in smart buildings. Prototype of the smart buildings are developed with features such as realtime energy monitoring, renewable energy integration, dynamic rescheduling and reallocation of energy utilization of equipments to attain energy sustainability. The results show that the proposed method provides energy sustainability compared to the current state-of-the-art methods.

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2016

Arya Devi R. D., Dr. Maneesha V. Ramesh, and Rangan, V. P., “High Performance Communication Architecture for Smart Distribution Power Grid in Developing Nations”, Wireless Networks, The Journal of Mobile Communication, Computation and Information, pp. 1-18, 2016.[Abstract]


In a smart distribution power grid, cost efficient and reliable communication architecture plays a crucial role in achieving complete functionality. There are different sets of Quality of Services (QoS) requirements for different data packets transmitting inside the microgrid (a regionally limited smart distribution grid), making it challenging to derive optimal communication architecture. The objective of this research work is to determine the optimal communication technologies for each data packet based on its QoS requirement. In this paper, we have proposed an architecture for a smart distribution power grid with Cyber Physical System enabled microgrids, which accommodate almost all functional requirements of a smart distribution power grid. For easy transition towards optimal communication architecture, we have presented a six-tier communication topology, which is derived from the architecture for a smart distribution power grid. The optimization formulations for each packet structure presented in this paper minimize the overall cost and consider the QoS requirements for each packet. Based on the simulation results, we have made recommendations for optimal communication technologies for each packet and thereby developed a heterogeneous communication architecture for a microgrid.

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PDF iconHigh-Performance-Communication-Architecture-for-Smart-Distribution-Power-Grid-in-Developing-Nations.pdf

2016

R. Guntha, Arya Devi R. D., and Dr. Maneesha V. Ramesh, “High-performance fault-tolerant data caching and synchronization architecture for smart-home mobile application”, Lecture Notes in Electrical Engineering, vol. 391, pp. 135-144, 2016.[Abstract]


Mobile devices are becoming the preferred choice for internet access as they are getting increasingly powerful and affordable. But because of lack of ubiquitous high bandwidth wireless internet, many mobile applications suffer from performance and reliability issues while accessing data from the servers. While many of the applications use caching mechanism to store data locally on mobile device to improve data access performance, they are not thoroughly focusing on related areas such as two-way data synchronization, fault tolerance and recovery, offline mode support and real-time update support. And hence even many reputed applications show inconsistent and out-of-date data; especially during network and battery outages. In this paper we propose usage of Replication process, Pending data process, targeted data update broadcasts to solve the above issues in the software architecture of Smart-Home project. © Springer Science+Business Media Singapore 2016.

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PDF iconHigh-Performance-Fault-Tolerant-Data-Caching-and-Synchronization-Architecture-for-Smart-Home-Mobile-Application.pdf

2016

A. Arunan and Arya Devi R. D., “Design of wireless sensor network for submarine detection”, Advances in Intelligent Systems and Computing, vol. 394, pp. 135-149, 2016.[Abstract]


The coastline of India extends up to nearly 12 Nautical miles which increase the possibility of intruders into the coastline of country (Barr et al. Barrier coverage for underwater sensor networks. IEEE Military communications conference. MILCOM; 2008. p. 1–7) [1]. This work looks into the intrusion of the other submarine to coastline of the country. Most of the existing submarine intrusion detection systems use sonar-based technologies. As submarine hulls can absorb the sonar waves, it can effectively hide from the detection system (Heidemann et al. Research challenges and applications for underwater sensor networking. IEEE Wireless Commun Netw Conf (WCNC). 2006;1:228–35) [2]. The proposed submarine detection system described in this paper helps to avoid this issue. The proposed system uses a wireless sensor network which provides an effective submarine detection and localization. In this work, a new MAC protocol and Routing Protocol is proposed for efficient working of the system.

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2013

Dr. Maneesha V. Ramesh, Preeja Pradeep, P., D., Arya Devi R. D., Sangeeth K., and V, R. Y., “AMRITA Remote Triggered Wireless Sensor Network Laboratory Framework(poster)”, SenSys 2013 Italy, 2013.[Abstract]


In this paper, we present a real time remote triggered laboratory which has multi-set, multi-group of wireless sensor network experimental setup which is envisioned to provide a practical experience of designing and implementing wireless sensor networks’ algorithms in both indoor and outdoor conditions. The architecture provides a remote code editing mechanism using deluge protocol that offers the user a flexible environment for the experimentation. Central and local authentication agents serve a two level security mechanism which makes the system robust to security threats. The lab is accessible for all the students in the world through internet and it will provide an intuitive web-based interface, where registered users can access the code and do code editing.

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PDF iconPoster-Abstract-AMRITA-Remote-Triggered-Wireless-Sensor-Network-Laboratory-Framework.pdf

Publication Type: Patent

Year of Publication Title

2016

Dr. Maneesha V. Ramesh, Arya Devi R. D., and P. Venkat Rangan, “Apparatus for Power Theft Detection On An Electrical Power Grid (Patent Filed)”, U.S. Patent 14/719,7862016.[Abstract]


An apparatus reducing power theft on a micro power grid includes a server connected to the micro power grid, the server including a processor, data repository and software executing on the processor from a non-transitory medium the software enabling collection over time of bi-directional current data from smart distribution nodes connected to identified segments of the micro power grid and from smart meters distributed to one or more client demarcation points on the identified segments, processing of the bi-directional current data to determine power theft event frequency and power theft current information, assigning of a class to the individual ones of identified segments according to results of processing, and resetting of the number of packet transmission hop counts between the smart distribution nodes on identified segments and resetting the time period interval between subsequent power theft check routines for each identified segment based upon the classification data.

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2015

Dr. Maneesha V. Ramesh, Arya Devi R. D., and P. Venkat Rangan, “Apparatus for Power Theft Detection On An Electrical Power Grid”, U.S. Patent 3933/CHE/20152015.

2015

Dr. Maneesha V. Ramesh, Arya Devi R. D., and P. Venkat Rangan, “Using CPS Enabled Micro-grid System for Optimal Power Utilization and Supply Strategy”, U.S. Patent 3978/CJE/20152015.

Publication Type: Book Chapter

Year of Publication Title

2016

Sangeeth K., Preeja Pradeep, Rekha, P., P., D., Arya Devi R. D., and Dr. Maneesha V. Ramesh, “Over the Air Programming Method for Learning Wireless Sensor Networks”, K. J. Kim and Joukov, N., Eds. ICISA 2016, Vietnam: Springer Singapore, 2016, pp. 555–566.

Publication Type: Conference Proceedings

Year of Publication Title

2013

Dr. Maneesha V. Ramesh, Preeja Pradeep, P., D., Arya Devi R. D., Rekha, P., Sangeeth K., and YV, R., “AMRITA Remote Triggered Wireless Sensor Network Laboratory Framework”, Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems (SenSys). ACM, Italy, 2013.[Abstract]


In this paper, we present a real time remote triggered laboratory which has multi-set, multi-group of wireless sensor network experimental setup which is envisioned to provide a practical experience of designing and implementing wireless sensor networks' algorithms in both indoor and outdoor conditions. The architecture provides a remote code editing mechanism using deluge protocol that offers the user a flexible environment for the experimentation. Central and local authentication agents serve a two level security mechanism which makes the system robust to security threats. The lab is accessible for all the students in the world through internet and it will provide an intuitive web-based interface, where registered users can access the code and do code editing.

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PDF iconPoster-Abstract-AMRITA-Remote-Triggered-Wireless-Sensor-Network-Laboratory-Framework.pdf