Optimization of wireless local area network in IC factory using a jumping-gene paradigm

T. M. CHAN; K. F. MAN; K. S. TANG; S. KWONG

doi:10.1109/INDIN.2005.1560471

Optimization of wireless local area network in IC factory using a jumping-gene paradigm

T. M. CHAN^*, K. F. MAN, K. S. TANG, S. KWONG

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

8 Citations (Scopus)

Abstract

In this paper, a jumping gene paradigm is proposed to optimize the base station placement for the wireless local area network (WLAN) of an IC factory. In order to offer adequate radio coverage quality for the terminals, the locations of base stations should be correctly determined. Since there is a tradeoff between the signal quality of terminals and the number of allowable base stations, this problem is formulated as a multiobjective optimization problem. Several well-known multiobjective evolutionary algorithms are adopted to compare with our suggested method. Simulation results from this study indicate that the jumping-gene scheme outperforms others for this optimization problem.

Original language	English
Title of host publication	Proceedings of the 2005 3rd IEEE International Conference on Industrial Informatics, INDIN
Publisher	IEEE
Pages	773-778
Number of pages	6
ISBN (Print)	0780390946, 9780780390942
DOIs	https://doi.org/10.1109/INDIN.2005.1560471
Publication status	Published - 2005
Externally published	Yes
Event	2005 3rd IEEE International Conference on Industrial Informatics, INDIN - Perth, Australia Duration: 10 Aug 2005 → 12 Aug 2005

Conference

Conference	2005 3rd IEEE International Conference on Industrial Informatics, INDIN
Country/Territory	Australia
City	Perth
Period	10/08/05 → 12/08/05

Keywords

Genetic algorithms
Jumping genes
Multiobjective evolutionary algorithms
Optimization
Wireless local area network (WLAN)

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10.1109/INDIN.2005.1560471

Cite this

@inproceedings{a834276602654b26ac17e7507f636664,

title = "Optimization of wireless local area network in IC factory using a jumping-gene paradigm",

abstract = "In this paper, a jumping gene paradigm is proposed to optimize the base station placement for the wireless local area network (WLAN) of an IC factory. In order to offer adequate radio coverage quality for the terminals, the locations of base stations should be correctly determined. Since there is a tradeoff between the signal quality of terminals and the number of allowable base stations, this problem is formulated as a multiobjective optimization problem. Several well-known multiobjective evolutionary algorithms are adopted to compare with our suggested method. Simulation results from this study indicate that the jumping-gene scheme outperforms others for this optimization problem.",

keywords = "Genetic algorithms, Jumping genes, Multiobjective evolutionary algorithms, Optimization, Wireless local area network (WLAN)",

author = "CHAN, {T. M.} and MAN, {K. F.} and TANG, {K. S.} and S. KWONG",

year = "2005",

doi = "10.1109/INDIN.2005.1560471",

language = "English",

isbn = "0780390946",

pages = "773--778",

booktitle = "Proceedings of the 2005 3rd IEEE International Conference on Industrial Informatics, INDIN",

publisher = "IEEE",

note = "2005 3rd IEEE International Conference on Industrial Informatics, INDIN ; Conference date: 10-08-2005 Through 12-08-2005",

}

CHAN, TM, MAN, KF, TANG, KS & KWONG, S 2005, Optimization of wireless local area network in IC factory using a jumping-gene paradigm. in Proceedings of the 2005 3rd IEEE International Conference on Industrial Informatics, INDIN., 1560471, IEEE, pp. 773-778, 2005 3rd IEEE International Conference on Industrial Informatics, INDIN, Perth, Australia, 10/08/05. https://doi.org/10.1109/INDIN.2005.1560471

Optimization of wireless local area network in IC factory using a jumping-gene paradigm. / CHAN, T. M.; MAN, K. F.; TANG, K. S. et al.
Proceedings of the 2005 3rd IEEE International Conference on Industrial Informatics, INDIN. IEEE, 2005. p. 773-778 1560471.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - Optimization of wireless local area network in IC factory using a jumping-gene paradigm

AU - CHAN, T. M.

AU - MAN, K. F.

AU - TANG, K. S.

AU - KWONG, S.

PY - 2005

Y1 - 2005

N2 - In this paper, a jumping gene paradigm is proposed to optimize the base station placement for the wireless local area network (WLAN) of an IC factory. In order to offer adequate radio coverage quality for the terminals, the locations of base stations should be correctly determined. Since there is a tradeoff between the signal quality of terminals and the number of allowable base stations, this problem is formulated as a multiobjective optimization problem. Several well-known multiobjective evolutionary algorithms are adopted to compare with our suggested method. Simulation results from this study indicate that the jumping-gene scheme outperforms others for this optimization problem.

AB - In this paper, a jumping gene paradigm is proposed to optimize the base station placement for the wireless local area network (WLAN) of an IC factory. In order to offer adequate radio coverage quality for the terminals, the locations of base stations should be correctly determined. Since there is a tradeoff between the signal quality of terminals and the number of allowable base stations, this problem is formulated as a multiobjective optimization problem. Several well-known multiobjective evolutionary algorithms are adopted to compare with our suggested method. Simulation results from this study indicate that the jumping-gene scheme outperforms others for this optimization problem.

KW - Genetic algorithms

KW - Jumping genes

KW - Multiobjective evolutionary algorithms

KW - Optimization

KW - Wireless local area network (WLAN)

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DO - 10.1109/INDIN.2005.1560471

M3 - Conference paper (refereed)

AN - SCOPUS:33750687986

SN - 0780390946

SN - 9780780390942

SP - 773

EP - 778

BT - Proceedings of the 2005 3rd IEEE International Conference on Industrial Informatics, INDIN

PB - IEEE

T2 - 2005 3rd IEEE International Conference on Industrial Informatics, INDIN

Y2 - 10 August 2005 through 12 August 2005

ER -

Optimization of wireless local area network in IC factory using a jumping-gene paradigm

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Keywords

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