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

Hazura Mohamed, Muhammad Hisyam Lee, Shaharuddin Salleh, Bahrom Sanugi, Mazalan Sarahintu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 - Bandung
Duration: 17 Jul 201119 Jul 2011

Other

Other2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
CityBandung
Period17/7/1119/7/11

Fingerprint

Wireless ad hoc networks
Ad hoc networks
Routing protocols
Network routing
Analysis of variance (ANOVA)
Design of experiments
Signal to noise ratio
Throughput
Design optimization

Keywords

  • Ad-hoc network
  • ANOVA
  • multiple metrics
  • Taguchi's loss function

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering

Cite this

Mohamed, H., Lee, M. H., Salleh, S., Sanugi, B., & Sarahintu, M. (2011). Ad-Hoc network design with multiple metrics using Taguchi's loss function. In Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 [6021659] https://doi.org/10.1109/ICEEI.2011.6021659

Ad-Hoc network design with multiple metrics using Taguchi's loss function. / Mohamed, Hazura; Lee, Muhammad Hisyam; Salleh, Shaharuddin; Sanugi, Bahrom; Sarahintu, Mazalan.

Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011. 6021659.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mohamed, H, Lee, MH, Salleh, S, Sanugi, B & Sarahintu, M 2011, Ad-Hoc network design with multiple metrics using Taguchi's loss function. in Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011., 6021659, 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011, Bandung, 17/7/11. https://doi.org/10.1109/ICEEI.2011.6021659
Mohamed H, Lee MH, Salleh S, Sanugi B, Sarahintu M. Ad-Hoc network design with multiple metrics using Taguchi's loss function. In Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011. 6021659 https://doi.org/10.1109/ICEEI.2011.6021659
Mohamed, Hazura ; Lee, Muhammad Hisyam ; Salleh, Shaharuddin ; Sanugi, Bahrom ; Sarahintu, Mazalan. / Ad-Hoc network design with multiple metrics using Taguchi's loss function. Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011.
@inproceedings{84a138019d634577b867c9eebe401777,
title = "Ad-Hoc network design with multiple metrics using Taguchi's loss function",
abstract = "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.",
keywords = "Ad-hoc network, ANOVA, multiple metrics, Taguchi's loss function",
author = "Hazura Mohamed and Lee, {Muhammad Hisyam} and Shaharuddin Salleh and Bahrom Sanugi and Mazalan Sarahintu",
year = "2011",
doi = "10.1109/ICEEI.2011.6021659",
language = "English",
isbn = "9781457707520",
booktitle = "Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011",

}

TY - GEN

T1 - Ad-Hoc network design with multiple metrics using Taguchi's loss function

AU - Mohamed, Hazura

AU - Lee, Muhammad Hisyam

AU - Salleh, Shaharuddin

AU - Sanugi, Bahrom

AU - Sarahintu, Mazalan

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Ad-hoc network

KW - ANOVA

KW - multiple metrics

KW - Taguchi's loss function

UR - http://www.scopus.com/inward/record.url?scp=80054048503&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80054048503&partnerID=8YFLogxK

U2 - 10.1109/ICEEI.2011.6021659

DO - 10.1109/ICEEI.2011.6021659

M3 - Conference contribution

SN - 9781457707520

BT - Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011

ER -