Abstract
Wireless Sensor Networks (WSN) are operated on a battery source. The sensor nodes are required more energy for the communication and information processing and also reduced the network lifetime. An efficient clustering scheme is designed to reduce the energy utilization and prolonged the network lifetime. In this paper, a hybrid approach of Bacteria Foraging Optimization with Cuckoo Search algorithm is proposed in the LEACH-C algorithm. This proposed methodology improves the chemotaxis behavior of Bacteria Foraging Optimization by using the Cuckoo Search algorithm. The residual energy of the node and the minimum distance among the nodes are considered for selecting the optimal cluster head. The proposed methodology has been done in Network Simulator (NS-2) and the experimental results improve the network lifetime by increasing the alive nodes and minimize the energy consumption. The proposed methodology has provided 700 seconds of life duration to the nodes, which is significantly higher than the lifetime provided by any other conventional techniques.
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