Full-view coverage quasi-mobile camera sensor network for maritime surveillance

Coverage of a camera sensor network (CSN) is a critical issue in deploying such network in maritime environment. In such environment, camera sensors will not be stationary after the initial deployment due to the hostile sea environment. Hence, the mobility pattern poses a major limitation on identifying the time-varying coverage. In full-view coverage, target's facing direction has been introduced to judge whether a target's facing direction is guaranteed to be captured. To this end, we exploit full-view coverage in CSN, since image shots at the frontal viewpoint of a given target considerably increase the possibility to detect and recognize the target. In this paper, we have developed a mobility pattern based on wind speed and spring relaxation technique which are used to characterize the total displacement of a given buoy. Furthermore, the average percentage of full-view coverage has been evaluated based on different parameters such as equilateral triangle grid length, sensing radius of camera, wind speed and wave height. Consequently, the proposed model has been validated through MATLAB simulation platform