An energy efficient network life time enhancement proposed clustering algorithm for Wireless Sensor Networks

wireless sensor networking is an emerging technology that promises a wide range of potential applications in both civilian and military areas. A wireless sensor network (WSN) typically consist of a large number of low cost, low power and multi-functional sensor nodes that are deployed in a region of interest. Wireless sensor networks face many challenges caused by communication failures, storage and computational constraints and limited power supply. In WSN, the nodes are battery driven and hence energy saving of sensor nodes is a major design issue. Energy efficient algorithms must be implemented so that network lifetime should be prolonged. Lifetime of a network can be maximized through clustering algorithms, where cluster is responsible for sending the data to the base station and not all the nodes are involved in data transmission .various clustering algorithms are deployed in past few years. In this paper we are proposing an algorithm which is a combination of Bacterial foraging optimization algorithm (BFO) which is a Bio-Inspired algorithm and LEACH and HEED protocols which enhances the lifetime of a network by dissipating minimum amount of energy.