Bio-Inspired Approach to Generate Sink Mobility in Wireless Sensor Networks

The wireless sensor is the decentralized and self configuring type of network in which no central controller is present. The sizes of the sensor nodes are very small and it is generally deployed on the far places due to which energy consumption is the major issue of wireless sensor networks. To reduce energy consumption of the wireless sensor network, whole network is divided into fixed size clusters and in each cluster, cluster heads are selected on the basis of energy and distance. The optimization algorithms are applied within these networks in order to help in controlling the energy consumption. For sparing the energy of sensor nodes one of the clustering methodology is utilized. In every cluster has a cluster head and rest nodes are individual from that cluster. In this work, the multiple mobile sinks are deployed which aggregate data from the cluster heads and movement of the base station decided using bee colony algorithm. The simulation of proposed technique is performed in NS2 and results are analyzed in terms various parameters.