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Low complexity PSO-based multi-objective algorithm for delay-constraint applications

There has been an alarming increase in demand for highly efficient and reliable scheme to ultimately support delay sensitive application and provide the necessary quality of service (QoS) needed. Multimedia applications are very susceptible to delay and its high bandwidth requirement. Consequently,...

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Main Authors:	Baguda, Yakubu Suleiman, Fisal, Norsheila, A. Rashid, Rozeha, Yusof, Sharifah Kamilah, Syed Ariffin, Sharifah Hafizah, Shuaibu, Dahiru Sani
Format:	Article
Published:	Springer 2011
Subjects:	QA Mathematics
Online Access:	http://eprints.utm.my/id/eprint/45022/
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id	my.utm.45022
record_format	eprints
spelling	my.utm.450222017-09-28T03:15:15Z http://eprints.utm.my/id/eprint/45022/ Low complexity PSO-based multi-objective algorithm for delay-constraint applications Baguda, Yakubu Suleiman Fisal, Norsheila A. Rashid, Rozeha Yusof, Sharifah Kamilah Syed Ariffin, Sharifah Hafizah Shuaibu, Dahiru Sani QA Mathematics There has been an alarming increase in demand for highly efficient and reliable scheme to ultimately support delay sensitive application and provide the necessary quality of service (QoS) needed. Multimedia applications are very susceptible to delay and its high bandwidth requirement. Consequently, it requires more sophisticated and low complexity algorithm to mitigate the aforementioned problems. In order to strategically select best optimal solution, there is dramatic need for efficient and effective optimization scheme to satisfy different QoS requirements in order to enhance the network performance. Multi-objective particle swarm optimization can be extremely useful and important in delay and mission-critical application. This is primarily due to its simplicity, high convergence and searching capability. In this paper, an optimal parameter selection strategy for time stringent application using particle swarm optimization has been proposed. The experimental result through well-known test functions clearly shows that multi-objective particle swarm optimization algorithm has extremely low computational time and it can be potentially applicable for delay sensitive applications. Springer 2011 Article PeerReviewed Baguda, Yakubu Suleiman and Fisal, Norsheila and A. Rashid, Rozeha and Yusof, Sharifah Kamilah and Syed Ariffin, Sharifah Hafizah and Shuaibu, Dahiru Sani (2011) Low complexity PSO-based multi-objective algorithm for delay-constraint applications. Communications in Computer and Information Science, 253 (3). pp. 274-283. ISSN 1865-0929
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	QA Mathematics
spellingShingle	QA Mathematics Baguda, Yakubu Suleiman Fisal, Norsheila A. Rashid, Rozeha Yusof, Sharifah Kamilah Syed Ariffin, Sharifah Hafizah Shuaibu, Dahiru Sani Low complexity PSO-based multi-objective algorithm for delay-constraint applications
description	There has been an alarming increase in demand for highly efficient and reliable scheme to ultimately support delay sensitive application and provide the necessary quality of service (QoS) needed. Multimedia applications are very susceptible to delay and its high bandwidth requirement. Consequently, it requires more sophisticated and low complexity algorithm to mitigate the aforementioned problems. In order to strategically select best optimal solution, there is dramatic need for efficient and effective optimization scheme to satisfy different QoS requirements in order to enhance the network performance. Multi-objective particle swarm optimization can be extremely useful and important in delay and mission-critical application. This is primarily due to its simplicity, high convergence and searching capability. In this paper, an optimal parameter selection strategy for time stringent application using particle swarm optimization has been proposed. The experimental result through well-known test functions clearly shows that multi-objective particle swarm optimization algorithm has extremely low computational time and it can be potentially applicable for delay sensitive applications.
format	Article
author	Baguda, Yakubu Suleiman Fisal, Norsheila A. Rashid, Rozeha Yusof, Sharifah Kamilah Syed Ariffin, Sharifah Hafizah Shuaibu, Dahiru Sani
author_facet	Baguda, Yakubu Suleiman Fisal, Norsheila A. Rashid, Rozeha Yusof, Sharifah Kamilah Syed Ariffin, Sharifah Hafizah Shuaibu, Dahiru Sani
author_sort	Baguda, Yakubu Suleiman
title	Low complexity PSO-based multi-objective algorithm for delay-constraint applications
title_short	Low complexity PSO-based multi-objective algorithm for delay-constraint applications
title_full	Low complexity PSO-based multi-objective algorithm for delay-constraint applications
title_fullStr	Low complexity PSO-based multi-objective algorithm for delay-constraint applications
title_full_unstemmed	Low complexity PSO-based multi-objective algorithm for delay-constraint applications
title_sort	low complexity pso-based multi-objective algorithm for delay-constraint applications
publisher	Springer
publishDate	2011
url	http://eprints.utm.my/id/eprint/45022/
_version_	1643651618754789376
score	13.211869

Low complexity PSO-based multi-objective algorithm for delay-constraint applications

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