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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Main Authors: Abdul Nasir, Husna Jamal, Ku-Mahamud, Ku Ruhana, Kamioka, Eiji
Format: Article
Language:English
Published: Universiti Utara Malaysia 2019
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/25994/1/JICT%2018%202%202019%20167%20182.pdf
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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
collection UUM
description 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.
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spelling uum-259942019-04-29T03:16:21Z https://repo.uum.edu.my/id/eprint/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 https://repo.uum.edu.my/id/eprint/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
spellingShingle 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
title 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
title_full_unstemmed Parameter adaptation for ant colony system in wireless sensor network
title_short Parameter adaptation for ant colony system in wireless sensor network
title_sort parameter adaptation for ant colony system in wireless sensor network
topic QA75 Electronic computers. Computer science
url https://repo.uum.edu.my/id/eprint/25994/1/JICT%2018%202%202019%20167%20182.pdf
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