A high throughput load balance algorithm for multichannel wireless sensor networks

Authors:
Min Song;Yanxiao Zhao;Jun Wang;E. K. Park
Affiliations:
Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA;Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA;Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA;Department of Computer Science and Electrical Engineering, University of Missouri at Kansas City, Kansas City, MO
Venue:
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Year:
2009

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Abstract

Achieving efficient bandwidth utilization in multi-channel sensor networks is a challenging research problem. In this paper, we present a cognitive load balance algorithm for single-hop multi-channel sensor networks. Based on the load distribution of all base stations, our algorithm dynamically alternates the communication channels. As a result, the extra load from over-loaded channels is directed to under-loaded channels with a computed switch probability. In this paper, we also prove that a high throughput can be achieved if the load is balanced. The performance of the load balance algorithm is evaluated through both theoretical analysis and simulation study.