Parameter adaptation for ant colony system in wireless sensor network
The Ant Colony System (ACS) algorithm has been applied in solving packet routing problems in Wireless Sensor Networks (WSNs). Solving these problems is complicated as packets need to be submitted through sensor nodes which are spatially distributed and heterogeneous by nature. Without an effective...
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my.uum.repo.259942019-04-29T03:16:21Z http://repo.uum.edu.my/25994/ Parameter adaptation for ant colony system in wireless sensor network Abdul Nasir, Husna Jamal Ku-Mahamud, Ku Ruhana Kamioka, Eiji QA75 Electronic computers. Computer science The Ant Colony System (ACS) algorithm has been applied in solving packet routing problems in Wireless Sensor Networks (WSNs). Solving these problems is complicated as packets need to be submitted through sensor nodes which are spatially distributed and heterogeneous by nature. Without an effective packet routing algorithm, energy consumption will be increased while network lifetime will be reduced. Most researches are focused on optimizing the routing process by using predefined parameters within a certain range. However, this approach will not guarantee optimal performance. This paper presents the parameter adaptation values for ACS experimental set-up in validating its performance.Possible values of each parameter within a defined range were employed. Experiments were conducted to obtain the best value of each parameter to be used for throughput, energy consumption, and latency.Results of this study can be adopted to achieve optimal performance for the packet routing process. Universiti Utara Malaysia 2019 Article PeerReviewed application/pdf en http://repo.uum.edu.my/25994/1/JICT%2018%202%202019%20167%20182.pdf Abdul Nasir, Husna Jamal and Ku-Mahamud, Ku Ruhana and Kamioka, Eiji (2019) Parameter adaptation for ant colony system in wireless sensor network. Journal of Information and Communication Technology (JICT), 18 (2). pp. 167-187. ISSN 1675-414X http://jict.uum.edu.my/index.php/currentissues#a1 |
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QA75 Electronic computers. Computer science Abdul Nasir, Husna Jamal Ku-Mahamud, Ku Ruhana Kamioka, Eiji Parameter adaptation for ant colony system in wireless sensor network |
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The Ant Colony System (ACS) algorithm has been applied in solving packet routing problems in Wireless Sensor Networks (WSNs). Solving these problems is complicated as packets need to be submitted through sensor nodes which are spatially
distributed and heterogeneous by nature. Without an effective packet routing algorithm, energy consumption will be increased while network lifetime will be reduced. Most researches are
focused on optimizing the routing process by using predefined parameters within a certain range. However, this approach will not guarantee optimal performance. This paper presents the parameter adaptation values for ACS experimental set-up in
validating its performance.Possible values of each parameter within a defined range were employed. Experiments were conducted to obtain the best value of each parameter to be used for throughput, energy consumption, and latency.Results of this
study can be adopted to achieve optimal performance for the packet routing process. |
format |
Article |
author |
Abdul Nasir, Husna Jamal Ku-Mahamud, Ku Ruhana Kamioka, Eiji |
author_facet |
Abdul Nasir, Husna Jamal Ku-Mahamud, Ku Ruhana Kamioka, Eiji |
author_sort |
Abdul Nasir, Husna Jamal |
title |
Parameter adaptation for ant colony system in wireless sensor network |
title_short |
Parameter adaptation for ant colony system in wireless sensor network |
title_full |
Parameter adaptation for ant colony system in wireless sensor network |
title_fullStr |
Parameter adaptation for ant colony system in wireless sensor network |
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Parameter adaptation for ant colony system in wireless sensor network |
title_sort |
parameter adaptation for ant colony system in wireless sensor network |
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Universiti Utara Malaysia |
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2019 |
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http://repo.uum.edu.my/25994/1/JICT%2018%202%202019%20167%20182.pdf http://repo.uum.edu.my/25994/ http://jict.uum.edu.my/index.php/currentissues#a1 |
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