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Minimization of the number of cluster heads in a wireless sensor network is avery important problem to reduce channel contention and to improve theefficiency of the algorithm when executed at the level of cluster-heads. Inthis paper, we propose an efficient method based on genetic algorithms (GAs) tosolve a sensor network optimization problem. Long communication distancesbetween sensors and a sink in a sensor network can greatly drain the energy ofsensors and reduce the lifetime of a network. By clustering a sensor networkinto a number of independent clusters using a GA, we can greatly minimize thetotal communication distance, thus prolonging the network lifetime. Simulationresults show that our algorithm can quickly find a good solution.

An Efficient Method Based on Genetic Algorithms to Solve Sensor Network Optimization Problem