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.
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© 2011 Springer-Verlag Berlin Heidelberg
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Jiang, Y., Zhang, H. (2011). Base Station Controlled Intelligent Clustering Routing in Wireless Sensor Networks. In: Butz, C., Lingras, P. (eds) Advances in Artificial Intelligence. Canadian AI 2011. Lecture Notes in Computer Science(), vol 6657. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21043-3_25
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DOI: https://doi.org/10.1007/978-3-642-21043-3_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21042-6
Online ISBN: 978-3-642-21043-3
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