Sensor Deployment for Probabilistic Target k-Coverage Using Artificial Bee Colony Algorithm

A higher level of coverage is required for many sensitive applications. Though initial work on target coverage problems in wireless sensor networks used binary sensing model, a more realistic sensing model, the probabilistic sensing model has been used later. This work considers probabilistic k-coverage; where the required level of coverage has to be satisfied with k sensors and each target should also be monitored with a specific probability. We compute the optimal deployment location of sensor nodes, such that the probabilistic coverage as well as the k-coverage requirement is satisfied with the required sensing range being optimal. Preliminary results of using artificial bee colony algorithm to solve deployment problem for probabilistic target k-coverage is reported in this paper.