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Reseach Article

An Energy based Data Gathering Approach for Wireless Sensor Networks

by N. Kaleeswari, K. Baskaran
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 18
Year of Publication: 2012
Authors: N. Kaleeswari, K. Baskaran
10.5120/7287-0404

N. Kaleeswari, K. Baskaran . An Energy based Data Gathering Approach for Wireless Sensor Networks. International Journal of Computer Applications. 47, 18 ( June 2012), 16-21. DOI=10.5120/7287-0404

@article{ 10.5120/7287-0404,
author = { N. Kaleeswari, K. Baskaran },
title = { An Energy based Data Gathering Approach for Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 18 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 16-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number18/7287-0404/ },
doi = { 10.5120/7287-0404 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:42:11.018646+05:30
%A N. Kaleeswari
%A K. Baskaran
%T An Energy based Data Gathering Approach for Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 18
%P 16-21
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In Wireless Sensor Networks (WSNs), sensor nodes are organized in a random manner. These sensor nodes are mainly deployed in physical environment to gather data and deliver the data to the destination wherever requires. Sensor nodes have limited computational capability, limited bandwidth, energy source and memory. The main challenge in data gathering is to maximize the network lifetime and the given energy constraints of sensor nodes. If energy consumption per node can be balanced as well, a near optimal data gathering and routing scheme can be achieved in terms of network lifetime. We have proposed the algorithm called Energy based Data Gathering Approach (EDGA) to make the correct balance between the three factors like residual energy, distance and data gathering ratio. By simulation results we have shown that the EDGA achieves good throughput, high network lifetime, high residual energy while attaining low delay than the existing schemes LEACH and EBRP.

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Index Terms

Computer Science
Information Sciences

Keywords

Wsn Edga Data Gathering Network Lifetime Delay Residual Energy Throughput