Wireless Visual Sensor Networks Energy Minimization with Camera Selection for Target Tracking in the Network with the Occlusion Factor

This paper investigates the wireless visual sensor networks energy minimization in the presence of occlusion which prevents the target tracking. An algorithm is proposed for selecting the suitable visual sensor and adjusting its parameters (the focal length and the frame rate) in a way to satisfy the user quality requirements. For modeling the received image quality, a mathematical model has been proposed for the variance value of the received images that it uses for the considered problem formulization. The used concept for the mathematical problem solving is convex optimization which leads to priority function extraction for visual sensor selection algorithm and its parameters adjustment. Combining the priorities with the repetitive algorithm provides the solution. Simulation results reveal that the proposed algorithm represents an acceptable efficiency in compare with the complex and optimum algorithm (exhaustive search) whiles its complexity is suitable for the practical applications.