International Journal of Computer Science Issues

More than a traditional journal...

One of the most important challenges in the field of wireless sensor network is energy consumption that generally clustering is used to reduce energy consumption, increase scalability and facilitate routing. Fault in cluster heads makes disturbance in packets transmission so that their members become unavailable. So, re-clustering should be done and this action results in energy and time waste in system. In order to reduce negative effects of this approach, a method has been presented to recover member nodes of faulty cluster head by using genetic algorithm based recovery algorithm which acts multi-purposely. The proposed algorithm considers recovery of each node based on the distance of each node from cluster heads, remained energy of cluster heads and member number of each cluster head and selects the best cluster head to recovery. The proposed algorithm has been simulated by Matlab and obtained results show that this algorithm has better efficiency in case of considering three parameters of distance of each node from cluster heads, remained energy of cluster heads and member number of each cluster head compared with a case of considering only one of the parameters.