Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/39299
Title: Shortest Path Routing in Solar Powered WSNs Using Soft Computing Techniques
Authors: Dhanalakshmi, R
Vadivel, A
Parthiban, P
Keywords: Wireless Sensor Networks;k-means Clustering Algorithm;Three Phase Genetic Algorithms
Issue Date: Jan-2017
Publisher: NISCAIR-CSIR, India
Abstract: The main objective of this paper is to develop a three phase genetic algorithm to find the shortest path routing in solar poweredWireless Sensor Networks (WSNs), and thereby reducing the energy loss and the time consumed in the communication between various nodes (sensors) of the same. A three phase hybrid genetic algorithm is proposed for solving the shortest Path (SP) routing problem. The performance of the proposed algorithm is compared with Dijkstra, Munemoto, and Ahn algorithms. Here we have classified the wireless sensors as clusters which uses k-means clustering algorithm and within each cluster the shortest path routing for communication is found out using proposed three phase genetic algorithms.
Page(s): 23-27
URI: http://nopr.niscair.res.in/handle/123456789/39299
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.76(01) [January 2017]

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