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Reseach Article

Improving the Life of the Wireless Sensor Network using Energy Harvesting Clustering

by Nibedita Priyadarshini Mohapatra, Jagruti Jena, Sujata Kumari Sahu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 10
Year of Publication: 2015
Authors: Nibedita Priyadarshini Mohapatra, Jagruti Jena, Sujata Kumari Sahu

Nibedita Priyadarshini Mohapatra, Jagruti Jena, Sujata Kumari Sahu . Improving the Life of the Wireless Sensor Network using Energy Harvesting Clustering. International Journal of Computer Applications. 114, 10 ( March 2015), 37-43. DOI=10.5120/20018-2028

@article{ 10.5120/20018-2028,
author = { Nibedita Priyadarshini Mohapatra, Jagruti Jena, Sujata Kumari Sahu },
title = { Improving the Life of the Wireless Sensor Network using Energy Harvesting Clustering },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 10 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 37-43 },
numpages = {9},
url = { },
doi = { 10.5120/20018-2028 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:52:24.766393+05:30
%A Nibedita Priyadarshini Mohapatra
%A Jagruti Jena
%A Sujata Kumari Sahu
%T Improving the Life of the Wireless Sensor Network using Energy Harvesting Clustering
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 10
%P 37-43
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

In the modern era, Wireless sensor network (WSN) has seen new horizons among the research community. It has largest range of applications in most of the fields. Its beauty lies in its application area and it can be deployed anywhere. WSN has low cost, low power sensor nodes, can be deployed in large numbers and can be even used in hazardous environment. However, the sensor nodes in WSN do not have longer lifetime. Therefore, to meet this challenge of increasing the field lifetime of sensor nodes, the present study seeks to meet this end by using energy harvesting clustering model. Lifetime of the network increased largely by energy harvesting concept and clustering technique applied for effective use of energy. This increases the field lifetime of the sensor nodes before their complete degradation. In this way lifetime of the network improved a lot, which has seen through the experimental results in this paper.

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Index Terms

Computer Science
Information Sciences


Cluster heads energy consumption power management.