An Efficient Method Based on Genetic Algorithms to Solve Sensor Network Optimization Problem
Ehsan Heidari, Ali Movaghar · International Journal on Applications of Graph Theory In wireless Ad Hoc Networks And sensor Networks · 2011
Minimization of the number of cluster heads in a wireless sensor network is a very important problem to reduce channel contention and to improve the efficiency of the algorithm when executed at the level of cluster-heads.In this paper, we propose an efficient method based on genetic algorithms (GAs) to solve a sensor network optimization problem.Long communication distances between sensors and a sink in a sensor network can greatly drain the energy of sensors and reduce the lifetime of a network.By clustering a sensor network into a number of independent clusters using a GA, we can greatly minimize the total communication distance, thus prolonging the network lifetime.Simulation results show that our algorithm can quickly find a good solution.