Civilizing Energy Efficiency in Wireless Sensor Network Using Bacteria Foraging Algorithm

WSN has the potentiality to join the physical world with the virtual world by creating a network of sensor nodes. Here, sensor nodes are usually battery-operated devices, and hence energy reduction of sensor nodes is a major design issue. To extend the network‘s lifetime, minimization of energy consumption should be used. In cluster-based routing, cluster heads shape a wireless stamina to the sink. Each cluster heads collects data starting the sensors belonging to its cluster and ahead it to the sink. Here, the cluster head position rotates, i.e., each node works as a cluster head for a restricted period of time. Energy saving in BFA approaches can be done by cluster formation, cluster-head election, data collection at the cluster-head nodes to reduce data redundancy and thus save energy and also it improve energy efficiency of homogeneous WSN. It also defined Bacterial Foraging Algorithm (BFA) as an algorithm for selecting best cluster head selection for WSN. The simulation results enhanced performance of BFA based on total energy dissipation and no .of .alive nodes of the network when compared with LEACH Keywords— WSN, BFA, LEACH, routing protocol, cluster head election.