Optimal Placement for Opportunistic Cameras Using Genetic Algorithm

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Conference Proceeding
Proceedings of Intelligent Sensors, Sensor Networks and Information Processing Conference 2005, 2005, pp. 337 - 341
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Oppurtunistic Information Fusion (OIF) is introduced to enable the same sensors to provide data for multiple applications. Sensor location plays a crucial rule to get the maximum amount of useful information. This paper examines the optimal placement of cameras for a Networked Sensing Systems (NSS) that are designed to monitor a pre defined region to have as much coverage as possible with the purpose of serving multiple applications. This can be rephrased as a camera location optimization problem with multiple objective functions. Multi-Objective Genetic Algorithms (MOGA) is used with camera coverage as the two objective functions to be maximised
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