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A Review Paper on Energy Consumption and Reliability of WSN using Genetic Algorithm and MR-PSO

Published on February 2017 by Amandeep Kaur, Mandeep Kaur
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National Conference on Latest Initiatives and Innovations in Communication and Electronics
Foundation of Computer Science USA
IICE2016 - Number 2
February 2017
Authors: Amandeep Kaur, Mandeep Kaur
554cc4b1-2195-4737-9515-875b6e60bb0f

Amandeep Kaur, Mandeep Kaur . A Review Paper on Energy Consumption and Reliability of WSN using Genetic Algorithm and MR-PSO. National Conference on Latest Initiatives and Innovations in Communication and Electronics. IICE2016, 2 (February 2017), 6-9.

@article{
author = { Amandeep Kaur, Mandeep Kaur },
title = { A Review Paper on Energy Consumption and Reliability of WSN using Genetic Algorithm and MR-PSO },
journal = { National Conference on Latest Initiatives and Innovations in Communication and Electronics },
issue_date = { February 2017 },
volume = { IICE2016 },
number = { 2 },
month = { February },
year = { 2017 },
issn = 0975-8887,
pages = { 6-9 },
numpages = 4,
url = { /proceedings/iice2016/number2/26955-1680/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Latest Initiatives and Innovations in Communication and Electronics
%A Amandeep Kaur
%A Mandeep Kaur
%T A Review Paper on Energy Consumption and Reliability of WSN using Genetic Algorithm and MR-PSO
%J National Conference on Latest Initiatives and Innovations in Communication and Electronics
%@ 0975-8887
%V IICE2016
%N 2
%P 6-9
%D 2017
%I International Journal of Computer Applications
Abstract

Wireless sensor network are produced without using a fixed network infrastructure with the help of small sensor nodes communicating over wireless links. Wireless sensor network (WSN) is a group of three kinds of nodes: sensor node, and sink node, etc . Energy sources and communication is performed via wireless medium and every node has a limited processing capability. In this paper, Genetic Algorithm (GA) and MR- PSO is proposed to optimize sensor nodes' energy consumption. The most important is the clustering technique as an efficient way for reducing consumption of energy of a sensor node as well as the transmission cost. Multi-objective algorithm is also used which makes an optimal number of sensor-clusters with cluster-heads and reduces the transmission cost. The components are also used and the average fitness of the system is evaluated.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Networks Clustering Cluster-head Energy Consumption Genetic Algorithm (ga) Mr-pso