Base station controlled intelligent clustering routing in wireless sensor networks

Authors:
Yifei Jiang;Haiyi Zhang
Affiliations:
Jodrey School of Computer Science, Acadia University, Wolfville, Nova Scotia, Canada;Jodrey School of Computer Science, Acadia University, Wolfville, Nova Scotia, Canada
Venue:
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
Year:
2011

Citing 3
Cited 0

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Abstract

The main constrains for Wireless Sensor Network (WSN) are its limited energy and bandwidth. In industry, WSN deployed with massive node density produces lots of sensory traffic with redundancy. Accordingly, it decreases the network lifetime. In our proposed approach, we investigate the problem on energy-efficient routing for a WSN in a radio harsh environment. We propose a novel approach to create optimal routing paths by using Genetic Algorithm (GA) and Dijkstra's algorithm performed at Base Station (BS). To demonstrate the feasibility of our approach, formal analysis and simulation results are presented.