Solving 3D coverage problem using genetic algorithms in wireless camera-based sensor network modelling

Wireless camera sensor networks are used mostly in research today. However, the camera location in a space of study is a problem in maximizing the coverage of the camera. Instead of being a 2D computation, this computation is modeled in 3D projected to 2D walls. This research makes use of Genetic Al...

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Main Authors: Velasco, Neil Oliver M., Del Rosario, Jay Robert B., Bandala, Argel A.
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Published: Animo Repository 2019
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/647
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-16462022-02-02T00:40:59Z Solving 3D coverage problem using genetic algorithms in wireless camera-based sensor network modelling Velasco, Neil Oliver M. Del Rosario, Jay Robert B. Bandala, Argel A. Wireless camera sensor networks are used mostly in research today. However, the camera location in a space of study is a problem in maximizing the coverage of the camera. Instead of being a 2D computation, this computation is modeled in 3D projected to 2D walls. This research makes use of Genetic Algorithms - a search optimization algorithm to find the best placement of camera which will yield to a maximum coverage ratio. The results of the experiment show the length of time the algorithm computed, and the obtained the least number of cameras needed for the most coverage.© 2019 IEEE. 2019-11-01T07:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/647 Faculty Research Work Animo Repository Genetic algorithms Wireless sensor networks Digital cameras Electrical and Electronics
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Genetic algorithms
Wireless sensor networks
Digital cameras
Electrical and Electronics
spellingShingle Genetic algorithms
Wireless sensor networks
Digital cameras
Electrical and Electronics
Velasco, Neil Oliver M.
Del Rosario, Jay Robert B.
Bandala, Argel A.
Solving 3D coverage problem using genetic algorithms in wireless camera-based sensor network modelling
description Wireless camera sensor networks are used mostly in research today. However, the camera location in a space of study is a problem in maximizing the coverage of the camera. Instead of being a 2D computation, this computation is modeled in 3D projected to 2D walls. This research makes use of Genetic Algorithms - a search optimization algorithm to find the best placement of camera which will yield to a maximum coverage ratio. The results of the experiment show the length of time the algorithm computed, and the obtained the least number of cameras needed for the most coverage.© 2019 IEEE.
format text
author Velasco, Neil Oliver M.
Del Rosario, Jay Robert B.
Bandala, Argel A.
author_facet Velasco, Neil Oliver M.
Del Rosario, Jay Robert B.
Bandala, Argel A.
author_sort Velasco, Neil Oliver M.
title Solving 3D coverage problem using genetic algorithms in wireless camera-based sensor network modelling
title_short Solving 3D coverage problem using genetic algorithms in wireless camera-based sensor network modelling
title_full Solving 3D coverage problem using genetic algorithms in wireless camera-based sensor network modelling
title_fullStr Solving 3D coverage problem using genetic algorithms in wireless camera-based sensor network modelling
title_full_unstemmed Solving 3D coverage problem using genetic algorithms in wireless camera-based sensor network modelling
title_sort solving 3d coverage problem using genetic algorithms in wireless camera-based sensor network modelling
publisher Animo Repository
publishDate 2019
url https://animorepository.dlsu.edu.ph/faculty_research/647
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