@inproceedings{1ad748c78fb4436b8ed1c21927bbd9b5,
title = "Optimal placement for opportunistic cameras using genetic algorithm",
abstract = "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",
keywords = "MOGA, OIF, Sensor placement",
author = "Rami Al-Hmouz and Subhash Challa",
year = "2005",
doi = "10.1109/issnip.2005.1595602",
language = "English",
isbn = "0780393996",
series = "Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference",
publisher = "IEEE Computer Society",
pages = "337--341",
booktitle = "Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference",
address = "United States",
note = "2005 Intelligent Sensors, Sensor Networks and Information Processing Conference ; Conference date: 05-12-2005 Through 08-12-2005",
}