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Computational Intelligence for Wireless Sensor Networks: Applications and Clustering Algorithms

by Basma Solaiman, Alaa Sheta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 73 - Number 15
Year of Publication: 2013
Authors: Basma Solaiman, Alaa Sheta
10.5120/12814-9940

Basma Solaiman, Alaa Sheta . Computational Intelligence for Wireless Sensor Networks: Applications and Clustering Algorithms. International Journal of Computer Applications. 73, 15 ( July 2013), 1-8. DOI=10.5120/12814-9940

@article{ 10.5120/12814-9940,
author = { Basma Solaiman, Alaa Sheta },
title = { Computational Intelligence for Wireless Sensor Networks: Applications and Clustering Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 73 },
number = { 15 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume73/number15/12814-9940/ },
doi = { 10.5120/12814-9940 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:40:07.893749+05:30
%A Basma Solaiman
%A Alaa Sheta
%T Computational Intelligence for Wireless Sensor Networks: Applications and Clustering Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 73
%N 15
%P 1-8
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

WSN has been directed from military applications to various civil applications. However, many applications are not ready for real world deployment. Most challenging issues are still unresolved. The main challenge facing the operation of WSN is saving energy to prolong the network lifetime. Clustering is an efficient technique used for managing energy consumption. However, clustering is an NP hard optimization problem that can't be solved effectively by traditional methods. Computational Intelligence (CI) paradigms are suitable to adapt for WSN dynamic nature. This paper explores the advantages of CI techniques and how they may be used to solve varies problems associated to WSN. Finally, a short conclusion and future recommendation is being provided.

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Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Network Computational Intelligence Clustering Algorithms

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