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Energy-efficient routing in hierarchical wireless sensor networks using differential-evolution-based memetic algorithm

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3 Author(s)
Chakraborty, U.K. ; Dept. of Math. & Comput. Sci., Univ. of Missouri - St. Louis, St. Louis, MO, USA ; Das, S.K. ; Abbott, T.E.

Optimal routing in hierarchical wireless sensor networks is an NP-complete problem of immense practical importance for which exact solutions exist for very small problem sizes. This paper presents a new memetic algorithm, based on differential evolution, that solves routing problems of more than a thousand relay nodes; in comparison, the best-known approach in the literature handles up to 312 nodes. Simulation results show that the proposed method consistently produces better-quality solutions than three competing approaches.

Published in:

Evolutionary Computation (CEC), 2012 IEEE Congress on

Date of Conference:

10-15 June 2012