A Novel Hybrid GA-ABC Based Energy Efficient Clustering in Wireless Sensor Network
Extending the lifetime of wireless sensor networks remains in the center of attention when talking about wireless sensor network issues. As lifetime is directly dependent upon the energy supplies of the nodes, optimization of node energy consumption is a robust approach to contribute to the overall network lifetime. Network clustering is one of the potential approaches to perform the optimization. However, optimum clustering of wireless sensor networks is an NP-Hard problem. To overcome this problem, a hybrid algorithm based on Genetic Algorithm and Artificial Bee Colony is proposed in this paper.