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Optimizing the Routing of Wireless Sensor Networks for Obstacles-avoidance

by A. H. Mohamed, A. M. Nassar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 170 - Number 8
Year of Publication: 2017
Authors: A. H. Mohamed, A. M. Nassar
10.5120/ijca2017914927

A. H. Mohamed, A. M. Nassar . Optimizing the Routing of Wireless Sensor Networks for Obstacles-avoidance. International Journal of Computer Applications. 170, 8 ( Jul 2017), 20-24. DOI=10.5120/ijca2017914927

@article{ 10.5120/ijca2017914927,
author = { A. H. Mohamed, A. M. Nassar },
title = { Optimizing the Routing of Wireless Sensor Networks for Obstacles-avoidance },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2017 },
volume = { 170 },
number = { 8 },
month = { Jul },
year = { 2017 },
issn = { 0975-8887 },
pages = { 20-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume170/number8/28090-2017914927/ },
doi = { 10.5120/ijca2017914927 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:17:56.404720+05:30
%A A. H. Mohamed
%A A. M. Nassar
%T Optimizing the Routing of Wireless Sensor Networks for Obstacles-avoidance
%J International Journal of Computer Applications
%@ 0975-8887
%V 170
%N 8
%P 20-24
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the recent years, wireless sensor networks (WSNs), have become essential part in a huge number of the modern applications. Researchers have developed a lot of work to improve their performance. But, practically WSNs still face with different kinds of obstacles those cause main challenges for their reliability. Therefore, finding an optimum obstacle-avoiding route path for the WSNs is considered an important research problem. The present work introduces a new optimum routing algorithm based on the cluster-based method for the WSNs with obstacles. The proposed system uses the cluster-based method and the mobile sink to decrease the power consumptions and increase the lifetime of the WSNs. Besides, it uses the genetic algorithm to optimize the avoiding-obstacles routing path. Suggested system has been applied for a WSN used to communicate between a discovery-radiation robot and its operating system as a case of study. Simulation results for the tested WSN and their comparison with three other route algorithms have proved the effectiveness of the proposed novel method.

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Index Terms

Computer Science
Information Sciences

Keywords

Wireless sensor networks obstacles energy-efficient routing cluster-based genetic algorithm.

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