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Dynamic Secure Multipath Routing in Wireless Sensor Networks using Modified Simulated Annealing based Particle Swarm Optimization

by V. Upendran, R. Dhanapal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 154 - Number 5
Year of Publication: 2016
Authors: V. Upendran, R. Dhanapal
10.5120/ijca2016912135

V. Upendran, R. Dhanapal . Dynamic Secure Multipath Routing in Wireless Sensor Networks using Modified Simulated Annealing based Particle Swarm Optimization. International Journal of Computer Applications. 154, 5 ( Nov 2016), 18-23. DOI=10.5120/ijca2016912135

@article{ 10.5120/ijca2016912135,
author = { V. Upendran, R. Dhanapal },
title = { Dynamic Secure Multipath Routing in Wireless Sensor Networks using Modified Simulated Annealing based Particle Swarm Optimization },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2016 },
volume = { 154 },
number = { 5 },
month = { Nov },
year = { 2016 },
issn = { 0975-8887 },
pages = { 18-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume154/number5/26487-2016912135/ },
doi = { 10.5120/ijca2016912135 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:59:25.160166+05:30
%A V. Upendran
%A R. Dhanapal
%T Dynamic Secure Multipath Routing in Wireless Sensor Networks using Modified Simulated Annealing based Particle Swarm Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 154
%N 5
%P 18-23
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Routing in wireless sensor network has entirely different requirements compared to the routing requirements of a normal network. The complexity arises from the requirements of security, load balancing, resource constraints and failure handling. This paper presents a fast, secure and dynamic route generation technique for wireless sensor networks using metaheuristics for route generation. A modified form of Particle Swarm Optimization technique is used for route generation. In-order to overcome the problem of local optima, PSO is hybridized by incorporating Simulated Annealing in its local selection process. Hybridization also speeds up the route selection mechanism, thereby reducing the time overhead to a maximum extent.

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Index Terms

Computer Science
Information Sciences

Keywords

WSN Routing Secure routing PSO Simulated Annealing Multipath Routing

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