Energy Efficient Coverage Using Artificial Bee Colony Optimization in Wireless Sensor Networks

In mission critical applications, all critical points (CPs) are to be monitored effectively. Even a single node failure in the Wireless Sensor Network (WSN) may cause coverage hole, reducing the lifetime of the network. The sensor has nonrechargeable battery which makes energy supervision inevitable. The proposed Energy Efficient Coverage based Artificial Bee Colony Optimization (EEC-ABC) approach exploits intelligent foraging behaviour of honeybee swarm to solve Energy Efficient Coverage (EEC) problem, and thereby maximizes the network’s life time. It adheres to Quality of Service (QoS) metrics such as coverage, residual energy and life time. The simulation results demonstrated effectiveness of the residual energy and coverage in enhancing network lifetime.