Qualification: 
M.E
b_uma@blr.amrita.edu

B. Uma Maheswari currently serves as Assistant Professor at the department of Computer Science, Amrita School of Engineering.She is currently pursuing her Ph.D.

Publications

Publication Type: Conference Paper

Year of Publication Publication Type Title

2017

Conference Paper

Dr. N. Rakesh, Shakir, M., .Kalamani, P., and B. Uma Maheswari, “An Energy Saving Algorithm Using Heterogeneity Aware Protocol in Wireless Sensor Networks to sustain lifetime of nodes”, in International Conference on Inventive Systems and Control (ICISC 2017),, JCT College of Engineering,Coimbaore , 2017.[Abstract]


With the advancement in sensing technology, applications are moving from wired to wireless region. The main challenge is the energy consumption of individual sensing nodes. When first node dies system becomes unstable and we cannot make use of the untapped node's energy. There comes the relevance of TSEP like protocols in such heterogeneous network. Heterogeneous in the sense with respect to node energy the system becomes unstable. This work analyzes the advantages of TSEP like protocols. When we are manufacturing application for predicting the environmental pollution, natural and ecological disasters, all need to be communicated at present. So energy of sensing node places a crucial factor. The primary source of a sensor node is usually a battery and is usually neglected once it is deployed, which creates routing decision problem and scalability issues. In this work, the data acquisition happens by using a temperature sensor application, the proposed work captures data and it is analyzed using stable election protocol by observing the output performance with respect to lifetime of sensing nodes.

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2016

Conference Paper

B. Uma Maheswari and Sudarshan, T. S. B., “Reputation based mesh-tree-mesh cluster hybrid architecture for P2P live streaming”, in 2016 3rd International Conference on Devices, Circuits and Systems (ICDCS), Coimbatore, India, 2016.[Abstract]


Streaming video content to the end users with less delay and at the same time delivering content without compromising on the quality is a challenging task in peer to peer network. In this paper, a novel algorithm for constructing a scalable and robust hybrid overlay structure for video streaming is proposed. Peers are arranged in three layers namely mesh, tree and mesh cluster. They are connected to any of the layers on the basis of its reputation; the peers have reputation above a certain threshold are connected in meshor tree structure otherwise connected to mesh cluster. It supports more number of peers by connecting high reputed peers near streaming server and robustness of the proposed overlay structure to peer churn is achieved by the usage of mesh structure. Simulation results exhibit the characteristics of the proposed three-layer hybrid video streaming architecture and its performance with respect to end to end delay. It takes 19.41% less delay than mTreebone to stream video.

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2015

Conference Paper

B. Uma Maheswari and Dr. T.S.B. Sudarshan, “An ECDD technique to optimize QoS in wireless overlay network for multipath video streaming”, in Proceedings of the 2015 International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2015, 2015, pp. 50-53.[Abstract]


Multimedia applications over wireless networks are growing day by day. To provide better user experience the use of overlay network is the promising solution. However, maintaining overlay in wireless network is the challenging task which produces additional overheads. This overhead degrades the quality of the video transmitted over overlay networks. To overcome these issues ECDD model is proposed in this paper. mTreebone is used to build an overlay This model also adopts FEC scheme for error correction and video data is transmitted by using sub packetization method in multiple paths. The simulation results show the improved performance of the algorithm with respect to end to end delay and retransmission requests. Number of retransmission requests is reduced by 52.27% than SPMLD. © 2015 IEEE.

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2014

Conference Paper

Dr. N. Rakesh, B. Uma Maheswari, and Srivatsa, S. K., “Performance Analysis of Propagation Models in Different Terrain Conditions for IEEE Standard 802.16e WiMAX”, in 2014 International Conference on Communication and Signal Processing, Adhiparasakthi Engineering College, Melmaruvathur, Tamilnadu, Bengaluru, 2014.[Abstract]


To fulfill the end-users demand for access to the Internet “anywhere-anytime” and ensure quality of service, is the WiMAX (Worldwide Interoperability for Microwave Access) technology standardized based on IEEE 802.16 that provides efficient packet radio interface enabling transmission of high data rates. WiMAX network became popular and receives growing acceptance as a Broadband Wireless Access (BWA) system which is the solution of “last mile” wireless broadband. WiMAX has potential success and is gaining hike all over the world for deployment of the network in its line-of-sight (LOS) and non-line-of-sight (NLOS) conditions for both fixed operation below 11GHz and Mobile operation below 6 GHz frequency range. In the first step of cell planning and deployment of wireless network, estimation of path loss is very important in turn to get better signal strength to access Internet. In this work, we have used well-structured propagation models for analysis and comparison at different terrain areas, the models are - COST231 Hata model, COST231 Walfisch-Ikegami model, ECC-33 model, Ericsson model, and SUI model for SIMO (Single-input Multiple-output) channels. Using environmental parameters and some correction factors path loss is calculated for all terrain (urban, suburban, and rural) conditions. This provides guidelines for cell planning of mobile WiMAX at cellular frequency between 2-6 GHz.

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2009

Conference Paper

B. Uma Maheswari, B. Arumugam, S., and Rajamani, D. Kumar, “Image Segmentation of Brain using Iterative Watershedding plus Ridge Detection”, in Recent Trends in Information & Communication Technology conference, Bannari Amman Institute of Technology at Sathyamangalam, 2009.

2009

Conference Paper

S. B. Arumugam, B. Uma Maheswari, and Rajamani, D. Kumar, “Challenges in using Watershedding in Segmentation of Medical images”, in National Conference on Advanced Image Processing and Networking (NACIPAN ’09) , National Engineering College at Kovilpatti, 2009.

Publication Type: Journal Article

Year of Publication Publication Type Title

2016

Journal Article

B. Uma Maheswari and Dr. T.S.B. Sudarshan, “Error resilient multipath video delivery on wireless overlay networks”, Telkomnika (Telecommunication Computing Electronics and Control), vol. 14, pp. 894-903, 2016.[Abstract]


Real time applications delivering multimedia data over wireless networks still pose many challenges due to high throughput and stringent delay requirements. Overlay networks with multipath transmission is the promising solution to address the above problems. But in wireless networks the maintenance of overlay networks induce additional overheads affecting the bulky and delay sensitive delivery of multimedia data. To minimize the overheads, this work introduces the Error Compensated Data Distribution Model (ECDD) that aids in reducing end to end delays and overheads arising from packet retransmissions. The ECDD adopts mTreebone algorithm to identify the unstable wireless nodes and construct overlay tree. The overlay tree is further split to support multipath transmissions. A sub packetization mechanism is adopted for multipath video data delivery in the ECDD. A forward error correction mechanism and sub-packet retransmission techniques adopted in ECDD enables to reduce the overhead and end to end delay. The simulation results presented in this paper prove that the ECDD model proposed achieves lower end to end delay and outperforms the existing models in place. Retransmission requests are minimized by about 52.27% and bit errors are reduced by about 23.93% than Sub-Packet based Multipath Load Distribution. © 2016 Universitas Ahmad Dahlan.

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2015

Journal Article

B. Uma Maheswari and Dr. T.S.B. Sudarshan, “Fenwick tree based capability-aware live multimedia streaming in sparse MANETs”, International Journal of Applied Engineering Research, vol. 10, pp. 12655-12670, 2015.[Abstract]


Recent advancement in the network technology and infrastructure support video streaming over multiple paths. Realizing high quality video streaming over Mobile Adhoc Networks (MANET) is a very challenging task. This paper proposes an Application Layer Based Capability Aware protocol for single server multi user live streaming application. In wireless network each device has different capability in terms of data-storage, mobility, forwarding data, availability etc., and proposed protocol aims to realize these capabilities and to distribute video chunks in multiple paths by segmenting the stream based on its capacity. This is achieved with the help of Fenwick Tree – a data structure which is integrated in the Application Layer. The system is implemented and tested under various scenarios. The results show there is a considerable increase in throughput and decrease in total transfer time. © Research India Publications

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2014

Journal Article

S. Saravanan and B. Uma Maheswari, “Analyzing Large Web Log Files in a Hadoop Distributed Cluster Environment”, International Journal of Computer Technology and Applications (IJCTA), vol. 5, no. 5, 2014.[Abstract]


Analysing web log files has become an important task for E-Commerce companies to predict their customer behaviour and to improve their business. Each click in an E-commerce web page creates 100 bytes of data. Large E-Commerce websites like flipkart.com, amazon.in and ebay.in are visited millions of customers simultaneously. As a result, these customers generate petabytes of data in their web log files. As the web log file size is huge we require parallel processing and reliable data storage system for processing the web log files. Both the requirements are provided by Hadoop framework. Hadoop provides Hadoop Distributed File System (HDFS) and MapReduce rogramming model for processing huge dataset efficiently and effectively. In this paper, NASA web log file is analysed and the total number of hits received by each web page in a website, the total number of hits received by a web site in each hour using Hadoop framework is calculated and it is shown that Hadoop framework takes less response time to produce accurate results. Keywords - Hadoop, MapReduce, Log Files, Parallel Processing, Hadoop Distributed File System, ECommerce More »»
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