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Adaptive Clustering Based on Residual Energy on Sensor Nodes in Wireless Sensor Network for Multimedia Data

by Z.A. Jaffery, Moinuddin, Munish Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 33 - Number 1
Year of Publication: 2011
Authors: Z.A. Jaffery, Moinuddin, Munish Kumar
10.5120/3986-5632

Z.A. Jaffery, Moinuddin, Munish Kumar . Adaptive Clustering Based on Residual Energy on Sensor Nodes in Wireless Sensor Network for Multimedia Data. International Journal of Computer Applications. 33, 1 ( November 2011), 25-29. DOI=10.5120/3986-5632

@article{ 10.5120/3986-5632,
author = { Z.A. Jaffery, Moinuddin, Munish Kumar },
title = { Adaptive Clustering Based on Residual Energy on Sensor Nodes in Wireless Sensor Network for Multimedia Data },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 33 },
number = { 1 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 25-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume33/number1/3986-5632/ },
doi = { 10.5120/3986-5632 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:19:03.092757+05:30
%A Z.A. Jaffery
%A Moinuddin
%A Munish Kumar
%T Adaptive Clustering Based on Residual Energy on Sensor Nodes in Wireless Sensor Network for Multimedia Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 33
%N 1
%P 25-29
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless Sensor Network consists of large number of Sensor Nodes. The main aim is to increase the lifetime of the network as the sensors are deployed mainly to perform unattended operations like Environmental Monitoring, Seismic activity Detection, Industrial Monitoring and Control etc. All these activities require Robust Wireless Communication Protocol with low power consumption. This paper describes how the optimal numbers of Cluster Heads (CH) are elected among the sensor nodes so that energy is optimally consumed for the cluster members to interact with Cluster Heads. The role of the Cluster Head is rotated so that the energy consumption can be distributed evenly and the lifetime of the Wireless Sensor Network can be extended. The experimental results shows that the life time of the network is extended as compared to other approaches like LEACH [1]

References
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Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Networks Cluster Head Base Station Clustering Network Lifetime Energy Efficiency

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