an artificial bee colony inspired clustering solution to prolong lifetime of wireless sensor networks

It is very difficult and expensive to replace sensor node battery in wireless sensor network in many critical conditions such as bridge supervising, resource exploration in hostile locations, and wildlife safety, etc. the natural choice in such situations is to maximize network lifetime. one such approach is to divide the sensing area of wireless sensor network into clusters to achieve high energy efficiency and to prolong network lifetime. in this paper, an artificial bee colony inspired clustering solution (abcics) is introduced. the proposed protocol selects the head of the cluster with optimal fitness function. the fitness function comprises the residual energy of node, node degree, node centrality, and distance from base station to node. when clusterhead with high energy node transmits the data to the base station, it further minimizes the energy consumption of the sensor network. the presented protocol is compared with leach, hsapso, and mhacouc. simulation experiments show the effectiveness of our approach to enhance the network lifetime.