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Fuzzy Modeling for Wireless Sensor Networks

by A.H. Mohamed
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 138 - Number 13
Year of Publication: 2016
Authors: A.H. Mohamed
10.5120/ijca2016909054

A.H. Mohamed . Fuzzy Modeling for Wireless Sensor Networks. International Journal of Computer Applications. 138, 13 ( March 2016), 29-33. DOI=10.5120/ijca2016909054

@article{ 10.5120/ijca2016909054,
author = { A.H. Mohamed },
title = { Fuzzy Modeling for Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { March 2016 },
volume = { 138 },
number = { 13 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume138/number13/24442-2016909054/ },
doi = { 10.5120/ijca2016909054 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:39:38.403711+05:30
%A A.H. Mohamed
%T Fuzzy Modeling for Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 138
%N 13
%P 29-33
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Applications of the wireless sensor networks have widely increased in recent years. However, a lot of work has been developed to improve the performance of these wireless sensor networks. But, there are some main limitations till now due to complexity appeared for maximizing the lifetime, dealing with the noisy data, having a balance of the node loading, speeding up the transmission process of wireless sensor networks (WSNs). The present work proposes a new routing technique that has used the fuzzy modeling to overcome these drawbacks of WSNs. Proposed fuzzy technique seeks to determine the optimal route path from source to destination so that the energy consumption is balanced and minimized. The proposed fuzzy routing technique is applied for a WSN used in radiated products' system. Then, the suggested system is compared with Traditional Low- Energy Adaptive Clustering Hierarchy (LEACH) commonly used protocol for WSNs. The obtained results show significant increase in the performance of the WSNs. However, the proposed system has proved its well suitability for the real-time applications.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Modeling Wireless Sensor Networks.

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