Research Article
Computational Intelligence Techniques for Wireless Sensor Network: Review
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 118 - Issue 14 |
| Published: May 2015 |
| Authors: Sonal Chawla, Manju, Sugandha Singh |
10.5120/20815-3180
|
Sonal Chawla, Manju, Sugandha Singh . Computational Intelligence Techniques for Wireless Sensor Network: Review. International Journal of Computer Applications. 118, 14 (May 2015), 23-27. DOI=10.5120/20815-3180
@article{ 10.5120/20815-3180,
author = { Sonal Chawla,Manju,Sugandha Singh },
title = { Computational Intelligence Techniques for Wireless Sensor Network: Review },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 118 },
number = { 14 },
pages = { 23-27 },
doi = { 10.5120/20815-3180 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Sonal Chawla
%A Manju
%A Sugandha Singh
%T Computational Intelligence Techniques for Wireless Sensor Network: Review%T
%J International Journal of Computer Applications
%V 118
%N 14
%P 23-27
%R 10.5120/20815-3180
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Wireless sensors (nodes) in the network sense extract data from the various surrounding environment, sequence the sensed data locally, and then transfer the data to a base station for further processing through wireless communication. WSNs face various problem, communication failures, storage and computational constraints and limited power supply. The main challenge occur in WSN to save energy and prolong the network lifetime. Clustering is a technique that is used for managing energy consumption. However, clustering is NP hard optimization problem that can't be solved effectively by traditional methods. Different Computational Intelligence (CI) techniques are used to alter WSN dynamic nature.
References
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