In this paper, sensing coverage by Wireless Cameraembedded Sensor Networks (WCSN)s, a class of directional sensors is studied. The proposed work facilitates the autonomous tuning of orientation parameters and displacement of camerasensor nodes in the bounded Field of Interest (FoI), where the network coverage in terms of every point in the FoI is important. The proposed work is first of its kind to study the problem of maximizing coverage of randomly deployed mobile WCSNs which exploits their mobility. We propose an algorithm 'Uncovered Region Exploration Algorithm (UREA-CS)' that can be executed in centralized and distributed modes. Further, the work is extended for two special scenarios; firstly, to suit autonomous combing operations after initial random WCSN deployments and secondly, to improve the network coverage with occlusions in the FoI. The extensive simulation results show that the performance of UREA-CS is consistent, robust and versatile to achieve maximum coverage, both in centralized and distributed modes. The centralized and distributed modes are further analyzed with respect to computational and communicational overheads.
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