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 p...

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Main Authors: Husna Abdul Nasir, Ku Ku-Mahamud, Eiji Kamioka
Format: Article
Language:English
Published: UUM Press 2019-02-01
Series:Journal of ICT
Online Access:https://www.scienceopen.com/document?vid=2393be00-671e-4841-91d8-e410378bf68c
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spelling doaj-d62b9fdd527a4417a616e9bd2add51272021-08-02T21:35:13ZengUUM PressJournal of ICT1675-414X2019-02-0110.32890/jict2019.18.2.8286PARAMETER ADAPTATION FOR ANT COLONY SYSTEM IN WIRELESS SENSOR NETWORKHusna Abdul NasirKu Ku-MahamudEiji KamiokaThe 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.  https://www.scienceopen.com/document?vid=2393be00-671e-4841-91d8-e410378bf68c
collection DOAJ
language English
format Article
sources DOAJ
author Husna Abdul Nasir
Ku Ku-Mahamud
Eiji Kamioka
spellingShingle Husna Abdul Nasir
Ku Ku-Mahamud
Eiji Kamioka
PARAMETER ADAPTATION FOR ANT COLONY SYSTEM IN WIRELESS SENSOR NETWORK
Journal of ICT
author_facet Husna Abdul Nasir
Ku Ku-Mahamud
Eiji Kamioka
author_sort Husna Abdul Nasir
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
title_full_unstemmed PARAMETER ADAPTATION FOR ANT COLONY SYSTEM IN WIRELESS SENSOR NETWORK
title_sort parameter adaptation for ant colony system in wireless sensor network
publisher UUM Press
series Journal of ICT
issn 1675-414X
publishDate 2019-02-01
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.  
url https://www.scienceopen.com/document?vid=2393be00-671e-4841-91d8-e410378bf68c
work_keys_str_mv AT husnaabdulnasir parameteradaptationforantcolonysysteminwirelesssensornetwork
AT kukumahamud parameteradaptationforantcolonysysteminwirelesssensornetwork
AT eijikamioka parameteradaptationforantcolonysysteminwirelesssensornetwork
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