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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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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Challa, S.
description 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_str_mv 10.1109/ISSNIP.2005.1595602
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Cameras
Circuits
Genetic algorithms
MOGA
Monitoring
OIF
Optimization methods
Sensor fusion
Sensor Placement
Surges
Surveillance
title Optimal Placement for Opportunistic Cameras Using Genetic Algorithm
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