Achieving Full-View Barrier Coverage with Mobile Camera Sensors

Barrier coverage is a critical issue in wireless sensor networks for many practical applications, e.g., national border monitoring, security surveillance and intruder detection, etc. Its aim is to detect intruders that attempt to cross the protected region. Available works mainly focused on the barrier coverage of static directional sensors (e.g., cameras), which leads to a waste of redundant camera sensors with limited coverage area and sensing angles. In this paper, we study how to achieve full-view barrier coverage with mobile camera sensors. We first deploy mobile camera sensors to form full-view barrier coverage in a random environment. Then we propose a novel full-view barrier covered model to select mobile camera sensors. Finally, we analyze and optimize the number of camera sensors required for this specific model. Extensive simulation results are provided to illustrate that our proposed solution outperforms others in terms of minimum number of camera sensors.