A preference-enhanced multi-objective SIRMs fuzzy diffusion routing mechanism for wireless networked control systems

Clement N. Nyirenda; Fangyan Dong; Kaoru Hirota

A preference-enhanced multi-objective SIRMs fuzzy diffusion routing mechanism for wireless networked control systems

Clement N. Nyirenda^*
, Fangyan Dong
, Kaoru Hirota

^*此作品的通讯作者

Tokyo Institute of Technology

科研成果: 会议稿件 › 论文 › 同行评审

摘要

The SIRMs fuzzy diffusion (SIRMs-FD) routing mechanism is proposed and optimized by using the fuzzy preference-enhanced multi-objective Particle Swarm Optimizer (FPMOPSO) for Wireless Networked Control Systems (WNCSs). For these resource constrained networks, the lightweight nature of the SIRMs inference mechanism is a very desirable characteristic. Compared to the traditional fuzzy diffusion mechanism, the proposed approach improves packet loss rate and delay by 40% and 20% respectively, while the mean absolute error is improved by 20%. Performance in terms of residual energy is similar between the two approaches. This work demonstrates the effectiveness of the lightweight SIRMs-FD in WNCSs.

源语言	英语
页	6P
出版状态	已出版 - 2011
已对外发布	是
活动	International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011 - Suzhou, 中国期限: 19 11月 2011 → 23 11月 2011

会议

会议	International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011
国家/地区	中国
市	Suzhou
时期	19/11/11 → 23/11/11

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引用此

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title = "A preference-enhanced multi-objective SIRMs fuzzy diffusion routing mechanism for wireless networked control systems",

abstract = "The SIRMs fuzzy diffusion (SIRMs-FD) routing mechanism is proposed and optimized by using the fuzzy preference-enhanced multi-objective Particle Swarm Optimizer (FPMOPSO) for Wireless Networked Control Systems (WNCSs). For these resource constrained networks, the lightweight nature of the SIRMs inference mechanism is a very desirable characteristic. Compared to the traditional fuzzy diffusion mechanism, the proposed approach improves packet loss rate and delay by 40\% and 20\% respectively, while the mean absolute error is improved by 20\%. Performance in terms of residual energy is similar between the two approaches. This work demonstrates the effectiveness of the lightweight SIRMs-FD in WNCSs.",

keywords = "Fuzzy logic, Multi-objective optimization, Routing, Wireless networks",

author = "Nyirenda, \{Clement N.\} and Fangyan Dong and Kaoru Hirota",

year = "2011",

language = "English",

pages = "6P",

note = "International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011 ; Conference date: 19-11-2011 Through 23-11-2011",

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A preference-enhanced multi-objective SIRMs fuzzy diffusion routing mechanism for wireless networked control systems. / Nyirenda, Clement N.; Dong, Fangyan; Hirota, Kaoru.
2011. 6P 论文发表于 International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, Suzhou, 中国.

科研成果: 会议稿件 › 论文 › 同行评审

TY - CONF

T1 - A preference-enhanced multi-objective SIRMs fuzzy diffusion routing mechanism for wireless networked control systems

AU - Nyirenda, Clement N.

AU - Dong, Fangyan

AU - Hirota, Kaoru

PY - 2011

Y1 - 2011

N2 - The SIRMs fuzzy diffusion (SIRMs-FD) routing mechanism is proposed and optimized by using the fuzzy preference-enhanced multi-objective Particle Swarm Optimizer (FPMOPSO) for Wireless Networked Control Systems (WNCSs). For these resource constrained networks, the lightweight nature of the SIRMs inference mechanism is a very desirable characteristic. Compared to the traditional fuzzy diffusion mechanism, the proposed approach improves packet loss rate and delay by 40% and 20% respectively, while the mean absolute error is improved by 20%. Performance in terms of residual energy is similar between the two approaches. This work demonstrates the effectiveness of the lightweight SIRMs-FD in WNCSs.

AB - The SIRMs fuzzy diffusion (SIRMs-FD) routing mechanism is proposed and optimized by using the fuzzy preference-enhanced multi-objective Particle Swarm Optimizer (FPMOPSO) for Wireless Networked Control Systems (WNCSs). For these resource constrained networks, the lightweight nature of the SIRMs inference mechanism is a very desirable characteristic. Compared to the traditional fuzzy diffusion mechanism, the proposed approach improves packet loss rate and delay by 40% and 20% respectively, while the mean absolute error is improved by 20%. Performance in terms of residual energy is similar between the two approaches. This work demonstrates the effectiveness of the lightweight SIRMs-FD in WNCSs.

KW - Fuzzy logic

KW - Multi-objective optimization

KW - Routing

KW - Wireless networks

UR - https://www.scopus.com/pages/publications/84874341310

M3 - Paper

AN - SCOPUS:84874341310

SP - 6P

T2 - International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011

Y2 - 19 November 2011 through 23 November 2011

ER -

A preference-enhanced multi-objective SIRMs fuzzy diffusion routing mechanism for wireless networked control systems

摘要

会议

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