Studying the capture of stochastic events using radar and a mobile robot
Yang Xiao, Xiannuan Liang · International Journal of Sensor Networks · 2017
Moving sensors, vehicular devices and mobile robots can monitor larger areas than fixed sensors do during a fixed time period. However, the benefits of adopting vehicular devices, moving sensors and robots are not well understood. In this paper, our goal is to understand the benefits better. We model intrusion detection processes via a radar and a mobile sensor/robot (or a vehicular device) mathematically. We also consider using a pair of moving sensors or robots together, and we study their detection quality. We compare the robot detection and the radar detection in terms of intrusion loss probability and the expected capture time. Our studies help to understand the benefits of understanding mobility coverage.