Ad-Hoc network design with multiple metrics using Taguchi's loss function

This paper presents an approach for tackling multiple metrics and various network parameters simultaneously to investigate the performance of wireless ad-hoc network routing protocols. The study uses Taguchi's loss function to determine the best condition in yielding maximum throughput and mini...

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Published in:Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
Main Author: Mohamed H.; Lee M.H.; Salleh S.; Sanugi B.; Sarahintu M.
Format: Conference paper
Language:English
Published: 2011
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054048503&doi=10.1109%2fICEEI.2011.6021659&partnerID=40&md5=7b0a9f4aebc05782bb58604798e47e41
id 2-s2.0-80054048503
spelling 2-s2.0-80054048503
Mohamed H.; Lee M.H.; Salleh S.; Sanugi B.; Sarahintu M.
Ad-Hoc network design with multiple metrics using Taguchi's loss function
2011
Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011


10.1109/ICEEI.2011.6021659
https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054048503&doi=10.1109%2fICEEI.2011.6021659&partnerID=40&md5=7b0a9f4aebc05782bb58604798e47e41
This paper presents an approach for tackling multiple metrics and various network parameters simultaneously to investigate the performance of wireless ad-hoc network routing protocols. The study uses Taguchi's loss function to determine the best condition in yielding maximum throughput and minimum packet drop and routing overhead simultaneously for dynamic source routing (DSR) protocol. Studying the parameters one at a time or by trial and error until a first feasible design is found seems to be a common approach to design optimization. In this paper, the impact of ad-hoc network parameters such as terrain, network size, number of sources, packet transmitted rates, node speed and pause time on a multiple signal to noise ratio are investigated simultaneously. We present results based on simulation study according to Taguchi experimental design technique. Optimum levels of ad-hoc network parameters are suggested by using response table and response graph while contribution of significant parameter are estimated using analysis of variance (ANOVA). The results show that the terrain size, number of sources, transmission packet rates and nodes speed are the significant parameters affecting DSR performance in wireless ad-hoc networks. © 2011 IEEE.


English
Conference paper

author Mohamed H.; Lee M.H.; Salleh S.; Sanugi B.; Sarahintu M.
spellingShingle Mohamed H.; Lee M.H.; Salleh S.; Sanugi B.; Sarahintu M.
Ad-Hoc network design with multiple metrics using Taguchi's loss function
author_facet Mohamed H.; Lee M.H.; Salleh S.; Sanugi B.; Sarahintu M.
author_sort Mohamed H.; Lee M.H.; Salleh S.; Sanugi B.; Sarahintu M.
title Ad-Hoc network design with multiple metrics using Taguchi's loss function
title_short Ad-Hoc network design with multiple metrics using Taguchi's loss function
title_full Ad-Hoc network design with multiple metrics using Taguchi's loss function
title_fullStr Ad-Hoc network design with multiple metrics using Taguchi's loss function
title_full_unstemmed Ad-Hoc network design with multiple metrics using Taguchi's loss function
title_sort Ad-Hoc network design with multiple metrics using Taguchi's loss function
publishDate 2011
container_title Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
container_volume
container_issue
doi_str_mv 10.1109/ICEEI.2011.6021659
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054048503&doi=10.1109%2fICEEI.2011.6021659&partnerID=40&md5=7b0a9f4aebc05782bb58604798e47e41
description This paper presents an approach for tackling multiple metrics and various network parameters simultaneously to investigate the performance of wireless ad-hoc network routing protocols. The study uses Taguchi's loss function to determine the best condition in yielding maximum throughput and minimum packet drop and routing overhead simultaneously for dynamic source routing (DSR) protocol. Studying the parameters one at a time or by trial and error until a first feasible design is found seems to be a common approach to design optimization. In this paper, the impact of ad-hoc network parameters such as terrain, network size, number of sources, packet transmitted rates, node speed and pause time on a multiple signal to noise ratio are investigated simultaneously. We present results based on simulation study according to Taguchi experimental design technique. Optimum levels of ad-hoc network parameters are suggested by using response table and response graph while contribution of significant parameter are estimated using analysis of variance (ANOVA). The results show that the terrain size, number of sources, transmission packet rates and nodes speed are the significant parameters affecting DSR performance in wireless ad-hoc networks. © 2011 IEEE.
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