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Wireless camera-based sensor networks have emerged as an important class of sensor-based distributed intelligent systems. Camera-based sensor networks consist of large number of low-power camera nodes to monitor a general environment such as airports, museums, traffic control, military applications and etc. The camera nodes get information from a monitored environment, performing distributed and cooperation processing of their collected data. Using multiple cameras in the network provides different views of the scene, which increases the reliability of the captured events. The large number of image data produced by the cameras considering the network's resource restriction like bandwidth and energy consumption. Wireless camera-based sensor networks have many challenges and one of the important problems in cameras field of view is the coverage. The main contribution of this paper is to show the ability of genetic algorithm to solve coverage problem in wireless camera-based sensor networks. Simulation result of the presented method shows the better coverage ratio compared with the self-orientation algorithm which is appeared in 2008.