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Reseach Article

Optimization of Energy Consumption in Wireless Sensor Networks using Particle Swarm Optimization

by Madhusmita Nandi, Jibendu Sekhar Roy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 91 - Number 15
Year of Publication: 2014
Authors: Madhusmita Nandi, Jibendu Sekhar Roy
10.5120/15961-5418

Madhusmita Nandi, Jibendu Sekhar Roy . Optimization of Energy Consumption in Wireless Sensor Networks using Particle Swarm Optimization. International Journal of Computer Applications. 91, 15 ( April 2014), 45-50. DOI=10.5120/15961-5418

@article{ 10.5120/15961-5418,
author = { Madhusmita Nandi, Jibendu Sekhar Roy },
title = { Optimization of Energy Consumption in Wireless Sensor Networks using Particle Swarm Optimization },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 91 },
number = { 15 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 45-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume91/number15/15961-5418/ },
doi = { 10.5120/15961-5418 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:12:52.295214+05:30
%A Madhusmita Nandi
%A Jibendu Sekhar Roy
%T Optimization of Energy Consumption in Wireless Sensor Networks using Particle Swarm Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 91
%N 15
%P 45-50
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The present work is to optimize energy consumption in wireless sensor networks for multi-layer medium access control (ML-MAC) scheme where the delay times, i. e. , maximum response time delay, packet transmission delay, clock-drift delay, sleep delay and queuing delay are considered. Particle swarm optimization (PSO) is a popular multidimensional optimization procedure which is used in this paper to achieve less power consumption in wireless sensor networks.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Energy consumption Medium access control Wireless sensor networks Particle swarm optimization.