Optimal placement for opportunistic cameras using genetic algorithm

Rami Al-Hmouz*, Subhash Challa

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

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

Original languageEnglish
Title of host publicationProceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference
PublisherIEEE Computer Society
Pages337-341
Number of pages5
ISBN (Print)0780393996, 9780780393998
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event2005 Intelligent Sensors, Sensor Networks and Information Processing Conference - Melbourne, Australia
Duration: Dec 5 2005Dec 8 2005

Publication series

NameProceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference
Volume2005

Conference

Conference2005 Intelligent Sensors, Sensor Networks and Information Processing Conference
Country/TerritoryAustralia
CityMelbourne
Period12/5/0512/8/05

Keywords

  • MOGA
  • OIF
  • Sensor placement

ASJC Scopus subject areas

  • Engineering(all)

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