Divya P. currently serves as Research Associate at the Amrita Center for Wireless Networks & Applications (Amrita WNA), Amritapuri Campus. She was involved in different research projects under the Center such as Landslide monitoring, Remote Triggered labs, etc. Her major focus and involvement was in designing and developing the Decision Support System for the Landslide monitoring system deployed by the center in Munnar (Kerala) and Sikkim. She has also worked on developing experiments for the Remote Triggered Wireless Sensor Network Lab and in devising algorithms for localization and tracking of fishing vessels as part of the Micronet project. Since 2012, she also served as the Teaching Assistant for various courses under the Masters program at AmritaWNA such as Wireless Communications, Wireless Sensor Networks, Embedded Systems and Mobile Communication Networks.


  • 2010- 2012 : M.Tech in Wireless Sensor Networks, Amrita Vishwa Vidyapeetham (AMRITA University), Kerala, India. 
  • 2006- 2010 : B.Tech degree in Electrical and Electronics Engineering, Amrita Vishwa Vidyapeetham (AMRITA University), Kerala, India.


Publication Type: Book Chapter
Year of Publication Publication Type Title
2016 Book Chapter K. Sangeeth, Preeja Pradeep, Rekha, P., P., D., Aryadevi, R. D., and Sudheer, M., “Over the Air Programming Method for Learning Wireless Sensor Networks”, K. J. Kim and Joukov, N. ICISA 2016, Vietnam: Springer Singapore, 2016, pp. 555–566.
Publication Type: Journal Article
Year of Publication Publication Type Title
2016 Journal Article N. Sruthi, P., D., and Ramesh, M. V., “Topology preserving map generation for multiple mobile fishing vessels”, Advances in Intelligent Systems and Computing, Artificial Intelligence and Evolutionary Computations in Engineering Systems, vol. 394, pp. 259-272, 2016.[Abstract]

<p>In Indian coastal zone, real-time tracking of fishing vessels is nonexisting. This leads to numerous challenges in search and rescue operation, communicating emergency messages, etc. A quick solution for this is to install GPS devices, which is costly. In our research work, we designed and developed a low-cost hybrid solution with minimum number of location aware nodes. Real-time relative location information of mobile sensor nodes was developed by integrating mobility management, virtual coordinate system (VCS), and topology preserving map (TPM). The architecture is implemented in MATLAB and is tested with a rectangular network scenario with up to five mobile nodes and is able to track the relative location trace of mobile nodes at a particular interval of time. The effect of various simulation parameters such as communication range, node placement, number of mobile nodes, and sampling rate selection in tracking the mobile nodes with our system is also performed. © Springer India 2016.</p>

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Publication Type: Conference Paper
Year of Publication Publication Type Title
2015 Conference Paper Preeja Pradeep, P., D., Devi, R. D. A., Rekha, P., Sangeeth, K., and Ramesh, M. V., “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. More »»
2015 Conference Paper Preeja Pradeep, P., D., Devi, R. D. Arya, Rekha, P., Sangeeth, K., Tinu, V., and 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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2015 Conference Paper K. Sangeeth, Preeja Pradeep, P., D., Rekha, P., Devi, R. D. Arya, Sheeja, L., and 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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2014 Conference Paper M. Vinodini Ramesh, Rajan, P., and P., D., “Augmenting packet delivery rate in outdoor wireless sensor networks through frequency optimization”, in International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2014 , Hefei, 2014.[Abstract]

The deployment of a wireless sensor network for real-time monitoring applications encounters numerous challenges. In a typical outdoor scenario the propagation of the radio signal can be affected by several factors like the rainfall, foliage, path loss effect and fading effect. These factors can confront dynamic changes in link quality which will affect the packet delivery rates and can result in the failure of the system. This paper presents an optimized frequency selection for any wireless sensor networks which can enhance the packet delivery ratio at any worst environmental scenarios through a simulated framework in QualNet 5.0.2.

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2014 Conference Paper V. M. Ramesh, Rajan, P., and P., D., “Development of a resilient wireless sensor network for real-time outdoor applications”, in ISTMET 2014 - 1st International Symposium on Technology Management and Emerging Technologies, Proceedings, 2014.[Abstract]

Wireless sensor network deployed for any outdoor applications confronts link variations. The outdoor deployment can be appallingly affected by the precipitous change in the environmental conditions. The effect can vary accordingly with a single hop and a multi hop sensor network. In this paper, we analyze the impact of propagation factors such as shadowing, fading, foliage and rainfall on the link quality, received signal strength and packet reception rate. Then using a packet oriented simulation tool, Qualnet 5.0.2 a simulation framework was created to analyze the aftermath of the aforementioned propagation factors' separate as well as integrated effect on the signal quality. The models developed from the simulation are tested and assessed with the data received from the real time wireless sensor network system for landslide monitoring, deployed at Munnar, India. © 2014 IEEE.

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2014 Conference Paper D. P., B Thottungal, G., Geethalekshmy, C. V., and D Ramesh, M. V., “Automated Statistical Data Mining of a Real World Landslide Detection System”, in Proceedings of the International Conference on Data Mining (DMIN), 2014.[Abstract]

Wireless sensor network for landslide detection deployed in Munnar consists of 150 geophysical sensors which are spatially distributed over 20 Deep Earth Probes (DEP) located at different areas in the deployment site. The data received from each of these heterogeneous sensors are mined to retrieve the correlation between the various parameters contributing to landslide, using appropriate statistical methods. This paper presents an architecture which we have developed for automatic data mining of landslide data which will ultimately help in issuing an early warning for occurrence of landslides. Several algorithms were developed towards achieving this objective of effective data analysis of the continuous real time data collected from the deployment field. The results show that the slope instability in a region is dependent not only the intensity of rainfall but also the antecedent rainfall conditions and soil layer parameters. Each of these different algorithms and its results are explained in detail in this paper.

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2014 Conference Paper D. P., Sonkiya, S., Das, P., Manjusha, V. V., and Ramesh, M. V., “CAWIS: Context aware wireless irrigation system”, in I4CT 2014 - 1st International Conference on Computer, Communications, and Control Technology, Proceedings, 2014.[Abstract]

Water scarcity is one of the major problems faced by the whole world. In India, this situation is aggravated since agriculture is one of the major economies. As per the statistics of 2009, India has 35.12% of total land under irrigation. The objective of this work is to reduce the water usage in irrigation processes. In this regard, we have proposed a context aware wireless sensor network system for irrigation management. This multi-sensor system will continuously monitor the relevant environmental parameters, hydrological parameters, soil parameters and crop specific parameters to derive the context. These derived contexts will be used for automatic control and adaptation of the irrigation system. This context aware system uses the real-time sensor data to minimize the wastage of water used in the irrigation process. This research has also proposed an innovative design for horizontal angle adjustment of sprinkler nozzle using stepper motor. This remotely controllable sprinkler system can be wirelessly controlled, based on the decisions derived from the multi-sensors deployed in the agriculture field. The system also includes GSM module, which updates the user about the watering decisions being taken and executed on the fields. This paper describes the experimentation results of this system and it clearly shows that the system can effectively reduce water usage compared to the conventional systems. © 2014 IEEE.

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2013 Conference Paper J. Freeman, Varghese, J. Thomas, and P., D., “WSN based tracking for a concentrating solar thermal energy system”, in 1st IEEE Conference on Technologies for Sustainability (SusTech), 2013 , Portland, OR, 2013, pp. 203-207.[Abstract]

This work describes a Wireless Sensor Network (WSN) based control system for a concentrating solar thermal energy system. Concentrating solar thermal systems require precise tracking of the sun in order to operate most efficiently. Parabolic trough systems require at least one axis of tracking, while the heliostats used in "power tower" systems require two-axis tracking. The system described here uses a wireless sensor network, a single GPS receiver, and the ultra high accuracy solar position algorithm developed by the National Renewable Energy Laboratory (NREL) to control the tracking of the reflecting surfaces of a solar thermal system. A number of energy efficient methods are used within the WSN to optimize the system's performance. Preliminary results are given showing correct networking and tracking system operation.

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2013 Conference Paper K. A. Unnikrishn Menon, Jayaram, R., and P., D., “Wearable wireless tongue controlled assistive device using optical sensors”, in IFIP International Conference on Wireless and Optical Communications Networks, WOCN, Bhopal, Madhya Pradesh, 2013.[Abstract]

<p>Studies show that globally, about 1 in 50 people are living with paralysis and the amount increasing year by year. Paralysis can leave present these people with no interest in life leading to mental depression. An assistive device can aid a disabled person with a support to lead an easy life and it should be able to efficiently discern user's intention providing ease of usage. This paper proposes a wireless, wearable tongue controlled assistive device called Optical Sensor Based Tongue Controlled Assistive Device (OTCAD). Here the tongue movement is sensed using a small and low cost infrared (IR) sensor, mounted bilaterally near user's cheek. The user uses his/her tongue to change the reflection intensity of the sensor and this signal change is converted into user commands through signal processing. These commands are then wirelessly transmitted to PC/Smartphone through which the user can control their home environment, move a wheel chair or pass information to their care taker. © 2013 IEEE.</p>

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2012 Conference Paper K. A. Menon, Ramesh, M. Vinodini, and P., D., “Wireless sensor network for river water quality monitoring in India”, in Third International Conference on Computing Communication & Networking Technologies (ICCCNT), 2012 , Coimbatore, 2012.[Abstract]

Water is an important natural resource which needs constant quality monitoring for ensuring its safe use. This paper introduces a river water quality monitoring system based on wireless sensor network which helps in continuous and remote monitoring of the water quality data in India. The wireless sensor node in the system is designed for monitoring the pH of water, which is one of the main parameters that affect the quality of water. The proposed sensor node design mainly comprises of a signal conditioning module, processing module, wireless communication module and the power module. The sensed pH value will be wirelessly transmitted to the base station using Zigbee communication after the required signal conditioning and processing techniques. The circuit for the sensor node is designed, simulated and the hardware prototype is developed using the appropriate components which minimize the power requirement of the system and provides a cost effective platform for monitoring water quality.

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Publication Type: Conference Proceedings
Year of Publication Publication Type Title
2015 Conference Proceedings D. Gopan, P., D., and Ramesh, M. V., “Improved topology preserving maps for wireless sensor networks through D-VCS”, Proceedings of the Second International Conference on Computer and Communication Technologies, vol. 380. Springer Verlag, pp. 11-20, 2015.[Abstract]

Network management is crucial to implement large wireless sensor network. The network may contain hundreds to thousands of node. Furthermore, it is imperative to know the connectivity and location of the nodes to envision the framework of the network. Compared to GPS and other localization techniques, the virtual coordinate (VC) system is an affordable and efficient solution. In previous studies, the hop count from all anchor nodes was used to define the VC of a node, but the studies do not address the chance of having the same virtual coordinates. This paper introduces a distance-based virtual coordinate system (D-VCS) that uses physical distance along the shortest path from all anchor nodes to obtain distinctive virtual coordinates (VC). In the current study, we tested and analyzed the proposed D-VCS and compared it with the hop-based VCS mentioned in a previous study. We introduced a metric for connectivity error which quantitatively analyzed the precision of the introduced system. After completing the study, we observed that the TPM obtained from D-VCS shows lesser error compared to hop-based VCS. Furthermore, there was a mean deviation in connectivity error of approximately 23% between both systems. © Springer India 2016.

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2013 Conference Proceedings M. Vinodini Ramesh, Preeja Pradeep, P., D., Devi, R. D. Arya, Rekha, P., Sangeeth, K., and Rayudu, Y. V., “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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