On Directional K-Coverage Analysis of Randomly Deployed Camera Sensor Networks

Recently, smart surveillance is becoming a very important application of camera sensor networks. Most face recognition and tracking techniques employed in surveillance systems rely on the assumption of a frontal view of the human face. In order to detect the precise face orientation by cooperation among multiple cameras, we need to guarantee that each point in monitored region be covered by more than one camera. In this paper, we address the problem of Directional if-Coverage (DKC) in camera sensor networks. The DKC problem is different from that in conventional sensor networks due to the two aspects: directionality of sensing model and effective sensing. In particular, we propose a mathematical model to describe the relation among the number of cameras deployed randomly, the range of effective sensing angle, and the rate of directional if-coverage. Finally, we use simulations to show the effectiveness of deploying our model in practical scenarios.