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Title: Alteration of Camera Angles for Improving Coverage in Wireless Multimedia Sensor Network


Alteration of Camera Angles for Improving Coverage in Wireless Multimedia Sensor Network
Author Name:
Parisa Pezhhanfar and Shahram Babaie
The rapid and increasing development in CMOS cameras and microphones with low cost has resulted in the creation and advancement of Wireless Multimedia Sensor Networks. The random distribution of network nodes and accidental view points of cameras may lead to overlapping in their view points, production of the same and repeated data by different cameras and the lack of comprehensive coverage of different spots and areas. On the other hand, the presence of obstacles such as walls and buildings in the immediate view radius of the cameras reduces the amount of coverage of the environment. Hence, it can be maintained that the adjusting of the viewpoints of the cameras can resolve these problems and challenges. Thus, in this paper, a new algorithm has been proposed for adjusting the viewpoints of the cameras in Wireless Multimedia Sensor Networks (WMSNs). The proposed novel algorithm makes use of a two-phase approach to reduce the degree of overlapping and coverage holes so that the coverage of the area can be improved. Using this approach, an attempt will be made to identify the cameras whose viewpoints are out of the surveillance region and also the ones whose viewpoints are in conflict with the internal obstacles of the surveillance area. Then, having identified these obstacles and viewpoint holes, the proposed approach will change and alter the viewpoints of these cameras towards the coverage holes. As a result, the amount and comprehensiveness of the cameras coverage will be improved. In the spots where the density of the nodes is high, the sleep, wake-up and the transmission of the nodes can be intelligently adjusted so that the locations with few nodes can be better covered. Thus, the lifetime of the network can be enhanced. In order to evaluate the efficiency of the proposed approach, the researchers used the Matlab Simulator. The performance of the proposed approach was evaluated with the presence of two or three obstacles in the simulation. The effectiveness of the intelligent adjustment of the viewpoints of the cameras and their transmission to the coverage holes was analyzed and evaluated in comparison with the random distribution of the cameras in terms of the following parameters: ratio of the coverage, number of overlapping and the percentage of overlapping. The results of the simulations revealed that the proposed algorithm has significantly improved the above-mentioned parameters.