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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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Main Authors:	H., Mohamed,, M.H., Lee,, S., Salleh,, B., Sanugi,, M., Sarahintu,
Format:	Conference Paper
Language:	en_US
Published:	2015
Subjects:	DeLone & McLean IS success model Roger's DOI model E-learning Adoption Model
Online Access:	http://ddms.usim.edu.my/handle/123456789/9028
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id	my.usim-9028
record_format	dspace
spelling	my.usim-90282015-08-11T04:55:53Z Ad-Hoc network design with multiple metrics using Taguchi's loss function H., Mohamed, M.H., Lee, S., Salleh, B., Sanugi, M., Sarahintu, DeLone & McLean IS success model Roger's DOI model E-learning Adoption Model 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. 2015-08-11T04:55:53Z 2015-08-11T04:55:53Z 2011 Conference Paper 9781-4577-0752-0 http://ddms.usim.edu.my/handle/123456789/9028 en_US
institution	Universiti Sains Islam Malaysia
building	USIM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universit Sains Islam i Malaysia
content_source	USIM Institutional Repository
url_provider	http://ddms.usim.edu.my/
language	en_US
topic	DeLone & McLean IS success model Roger's DOI model E-learning Adoption Model
spellingShingle	DeLone & McLean IS success model Roger's DOI model E-learning Adoption Model H., Mohamed, M.H., Lee, S., Salleh, B., Sanugi, M., Sarahintu, Ad-Hoc network design with multiple metrics using Taguchi's loss function
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.
format	Conference Paper
author	H., Mohamed, M.H., Lee, S., Salleh, B., Sanugi, M., Sarahintu,
author_facet	H., Mohamed, M.H., Lee, S., Salleh, B., Sanugi, M., Sarahintu,
author_sort	H., Mohamed,
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	2015
url	http://ddms.usim.edu.my/handle/123456789/9028
_version_	1645152522611982336
score	13.222552

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

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