A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks

Yang, Erfu and Barton, Nick H. and Arslan, Tughrol and Erdogan, Ahmel T. (2008) A novel shifting balance theory-based approach to optimization of an energy-constrained modulation scheme for wireless sensor networks. In: CEC 2008 (IEEE World Congress on Computational Intelligence). IEEE, pp. 2749-2756. ISBN 978-1-4244-1822-0

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Abstract

This paper presents a new approach to optimization of an energy-constrained modulation scheme for wireless sensor networks by taking advantage of a novel bio-inspired optimization algorithm. The algorithm is inspired by Wright's shifting balance theory (SBT) of evolution in population genetics. The total energy consumption of an energy-constrained modulation scheme is minimized by using the new SBT-based optimization algorithm. The results obtained by this new algorithm are compared with other popular optimization algorithms. Numerical experiments are performed to demonstrate that the SBT-based algorithm could be used as an efficient optimizer for solving the optimization problems arising from currently emerging energy-efficient wireless sensor networks.