Multi Plane Volumetric Coverage in Wireless Visual Sensor Network

Coverage is one of the most important issues in wireless visual sensor networks. In this topic, most efforts have been concentrated on two-dimensional plane coverage. While in some applications such as automatic surveillance, target tracking and target localization, the main interest is to cover 3D regions. However these simplified plane coverage models cannot accurately characterize the actual 3D situations. To address this shortcoming, we define the concept of volumetric coverage, which considers three dimensional instead of plane coverage. Also to preserve the volumetric coverage, a greedy camera selection algorithm based on multi plane coverage is presented. In this algorithm, cameras are selected as active via selection criteria which assigns priorities to cameras. In order to prolong network's lifetime, minimum number of cameras are selected and also the remaining energy and the transmission cost of each camera sensor node are considered by selection criteria. Through simulations, the differences between plane and volumetric coverage models are illustrated and also the performance of our proposed method is proved.