Energy Efficient Clustering and Routing Techniques for Wireless Sensor Networks

Anish Kumar, Anita panwar, Ashok kumar

Abstract


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, an efficient method based on genetic algorithms (GAs) to solve a sensor network optimization problem is proposed. 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  Genitic Algorithm,   the total communication distance can be minimized, thus prolong the network lifetime. Simulation results show the proposed algorithm can find a optimal solution for multihop transmission scenario.


Keywords


Genetic algorithm, Wireless sensor networks, shortest distance, clustering.

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