Green AP dynamic and adaptive control algorithm

Ma Lin; Zheng Xiuming; Qin Danyang; Lu Yang

doi:10.1109/IMCCC.2014.69

Green AP dynamic and adaptive control algorithm

Ma Lin
, Zheng Xiuming
, Qin Danyang
, Lu Yang

School of Electronics and Information Engineering

Ministry of Public Security of the People's Republic of China
Harbin Institute of Technology
Heilongjiang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Wireless local networks (WLANs) are being deployed rapidly all over the world, which often contain large numbers of idle APs. The purpose of Green WLAN is to reduce the energy consumption without compromising the quality of service for end-users. In this paper, a dynamic and adaptive control algorithm of AP is proposed in order to save energy and prolong the service lives of APs. It includes AP selection which is solved with genetic algorithm and aimed to guarantee the whole coverage of WLAN, AP clustering, and the dynamic control algorithm of AP. Then simulation is operated on a virtual WLAN of high-density. The result shows that the dynamic and adaptive control algorithm of AP can indeed save much energy and improve the use efficiency of APs.

Original language	English
Title of host publication	Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014
Editors	Jun-Bao Li
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	299-305
Number of pages	7
ISBN (Electronic)	9781479965755
DOIs	https://doi.org/10.1109/IMCCC.2014.69
State	Published - 22 Dec 2014
Event	4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014 - Harbin, Heilongjiang, China Duration: 18 Sep 2014 → 20 Sep 2014

Publication series

Name	Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014

Conference

Conference	4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014
Country/Territory	China
City	Harbin, Heilongjiang
Period	18/09/14 → 20/09/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

AP selection
energy saving
genetic algorithm
green WLAN

Access to Document

10.1109/IMCCC.2014.69

Cite this

Lin, M., Xiuming, Z., Danyang, Q., & Yang, L. (2014). Green AP dynamic and adaptive control algorithm. In J.-B. Li (Ed.), Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014 (pp. 299-305). Article 6995039 (Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IMCCC.2014.69

Lin, Ma ; Xiuming, Zheng ; Danyang, Qin et al. / Green AP dynamic and adaptive control algorithm. Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014. editor / Jun-Bao Li. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 299-305 (Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014).

@inproceedings{d7ec0292118e4b299850954e4195ef79,

title = "Green AP dynamic and adaptive control algorithm",

abstract = "Wireless local networks (WLANs) are being deployed rapidly all over the world, which often contain large numbers of idle APs. The purpose of Green WLAN is to reduce the energy consumption without compromising the quality of service for end-users. In this paper, a dynamic and adaptive control algorithm of AP is proposed in order to save energy and prolong the service lives of APs. It includes AP selection which is solved with genetic algorithm and aimed to guarantee the whole coverage of WLAN, AP clustering, and the dynamic control algorithm of AP. Then simulation is operated on a virtual WLAN of high-density. The result shows that the dynamic and adaptive control algorithm of AP can indeed save much energy and improve the use efficiency of APs.",

keywords = "AP selection, energy saving, genetic algorithm, green WLAN",

author = "Ma Lin and Zheng Xiuming and Qin Danyang and Lu Yang",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014 ; Conference date: 18-09-2014 Through 20-09-2014",

year = "2014",

month = dec,

day = "22",

doi = "10.1109/IMCCC.2014.69",

language = "英语",

series = "Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "299--305",

editor = "Jun-Bao Li",

booktitle = "Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014",

address = "美国",

}

Lin, M, Xiuming, Z, Danyang, Q & Yang, L 2014, Green AP dynamic and adaptive control algorithm. in J-B Li (ed.), Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014., 6995039, Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014, Institute of Electrical and Electronics Engineers Inc., pp. 299-305, 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014, Harbin, Heilongjiang, China, 18/09/14. https://doi.org/10.1109/IMCCC.2014.69

Green AP dynamic and adaptive control algorithm. / Lin, Ma; Xiuming, Zheng; Danyang, Qin et al.
Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014. ed. / Jun-Bao Li. Institute of Electrical and Electronics Engineers Inc., 2014. p. 299-305 6995039 (Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Green AP dynamic and adaptive control algorithm

AU - Lin, Ma

AU - Xiuming, Zheng

AU - Danyang, Qin

AU - Yang, Lu

PY - 2014/12/22

Y1 - 2014/12/22

N2 - Wireless local networks (WLANs) are being deployed rapidly all over the world, which often contain large numbers of idle APs. The purpose of Green WLAN is to reduce the energy consumption without compromising the quality of service for end-users. In this paper, a dynamic and adaptive control algorithm of AP is proposed in order to save energy and prolong the service lives of APs. It includes AP selection which is solved with genetic algorithm and aimed to guarantee the whole coverage of WLAN, AP clustering, and the dynamic control algorithm of AP. Then simulation is operated on a virtual WLAN of high-density. The result shows that the dynamic and adaptive control algorithm of AP can indeed save much energy and improve the use efficiency of APs.

AB - Wireless local networks (WLANs) are being deployed rapidly all over the world, which often contain large numbers of idle APs. The purpose of Green WLAN is to reduce the energy consumption without compromising the quality of service for end-users. In this paper, a dynamic and adaptive control algorithm of AP is proposed in order to save energy and prolong the service lives of APs. It includes AP selection which is solved with genetic algorithm and aimed to guarantee the whole coverage of WLAN, AP clustering, and the dynamic control algorithm of AP. Then simulation is operated on a virtual WLAN of high-density. The result shows that the dynamic and adaptive control algorithm of AP can indeed save much energy and improve the use efficiency of APs.

KW - AP selection

KW - energy saving

KW - genetic algorithm

KW - green WLAN

UR - https://www.scopus.com/pages/publications/84921770362

U2 - 10.1109/IMCCC.2014.69

DO - 10.1109/IMCCC.2014.69

M3 - 会议稿件

AN - SCOPUS:84921770362

T3 - Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014

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BT - Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014

A2 - Li, Jun-Bao

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014

Y2 - 18 September 2014 through 20 September 2014

ER -

Lin M, Xiuming Z, Danyang Q, Yang L. Green AP dynamic and adaptive control algorithm. In Li JB, editor, Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 299-305. 6995039. (Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014). doi: 10.1109/IMCCC.2014.69

Green AP dynamic and adaptive control algorithm

Abstract

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UN SDGs

Keywords

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