Optimal Placement for Opportunistic Cameras Using Genetic Algorithm

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)...

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Bibliographic Details
Main Authors: Al-Hmouz, R., Challa, S.
Format: Conference Proceeding
Language:English
Subjects:
Cameras
Circuits
Genetic algorithms
MOGA
Monitoring
OIF
Optimization methods
Sensor fusion
Sensor Placement
Surges
Surveillance
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Summary: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
DOI:10.1109/ISSNIP.2005.1595602