Intelligent AP selection for indoor positioning in wireless local area network

Zhian Deng; Lin Ma; Yubin Xu

doi:10.1109/ChinaCom.2011.6158159

Intelligent AP selection for indoor positioning in wireless local area network

Zhian Deng^*
, Lin Ma
, Yubin Xu

^*Corresponding author for this work

School of Electronics and Information Engineering

Harbin Institute of Technology

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

16 Scopus citations

Abstract

Indoor positioning system in wireless local area network (WLAN) has been receiving increasing interest in pervasive computing applications. To keep balance between energy consumption on client device and positioning accuracy, AP selection strategy is always proposed to select the most discriminant APs for positioning. In this paper, we propose an intelligent AP selection method based on joint location information gain. In contrast to traditional AP selection methods which measure the discriminant ability of APs independently, we consider it jointly. By considering the correlation of the discriminant ability between different APs, more accurate measure of the discriminant ability can be taken. Besides, support vector regression (SVR) positioning algorithm is combined to estimate the location. Experiments are carried in a realistic WLAN indoor environment. Experimental results show that, by using the intelligent AP selection method, the proposed positioning algorithm maintains a high-level accuracy while reducing the energy consumption on client device significantly.

Original language	English
Title of host publication	Proceedings of the 2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011
Pages	257-261
Number of pages	5
DOIs	https://doi.org/10.1109/ChinaCom.2011.6158159
State	Published - 2011
Event	2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011 - Harbin, China Duration: 17 Aug 2011 → 19 Aug 2011

Publication series

Name	Proceedings of the 2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011

Conference

Conference	2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011
Country/Territory	China
City	Harbin
Period	17/08/11 → 19/08/11

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

AP selection
indoor positioning
support vector regression
wireless local area network (WLAN)

Access to Document

10.1109/ChinaCom.2011.6158159

Cite this

Deng, Z., Ma, L., & Xu, Y. (2011). Intelligent AP selection for indoor positioning in wireless local area network. In Proceedings of the 2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011 (pp. 257-261). Article 6158159 (Proceedings of the 2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011). https://doi.org/10.1109/ChinaCom.2011.6158159

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title = "Intelligent AP selection for indoor positioning in wireless local area network",

abstract = "Indoor positioning system in wireless local area network (WLAN) has been receiving increasing interest in pervasive computing applications. To keep balance between energy consumption on client device and positioning accuracy, AP selection strategy is always proposed to select the most discriminant APs for positioning. In this paper, we propose an intelligent AP selection method based on joint location information gain. In contrast to traditional AP selection methods which measure the discriminant ability of APs independently, we consider it jointly. By considering the correlation of the discriminant ability between different APs, more accurate measure of the discriminant ability can be taken. Besides, support vector regression (SVR) positioning algorithm is combined to estimate the location. Experiments are carried in a realistic WLAN indoor environment. Experimental results show that, by using the intelligent AP selection method, the proposed positioning algorithm maintains a high-level accuracy while reducing the energy consumption on client device significantly.",

keywords = "AP selection, indoor positioning, support vector regression, wireless local area network (WLAN)",

author = "Zhian Deng and Lin Ma and Yubin Xu",

year = "2011",

doi = "10.1109/ChinaCom.2011.6158159",

language = "英语",

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series = "Proceedings of the 2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011",

pages = "257--261",

booktitle = "Proceedings of the 2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011",

note = "2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011 ; Conference date: 17-08-2011 Through 19-08-2011",

}

Deng, Z, Ma, L & Xu, Y 2011, Intelligent AP selection for indoor positioning in wireless local area network. in Proceedings of the 2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011., 6158159, Proceedings of the 2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011, pp. 257-261, 2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011, Harbin, China, 17/08/11. https://doi.org/10.1109/ChinaCom.2011.6158159

Intelligent AP selection for indoor positioning in wireless local area network. / Deng, Zhian; Ma, Lin; Xu, Yubin.
Proceedings of the 2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011. 2011. p. 257-261 6158159 (Proceedings of the 2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011).

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

TY - GEN

T1 - Intelligent AP selection for indoor positioning in wireless local area network

AU - Deng, Zhian

AU - Ma, Lin

AU - Xu, Yubin

PY - 2011

Y1 - 2011

N2 - Indoor positioning system in wireless local area network (WLAN) has been receiving increasing interest in pervasive computing applications. To keep balance between energy consumption on client device and positioning accuracy, AP selection strategy is always proposed to select the most discriminant APs for positioning. In this paper, we propose an intelligent AP selection method based on joint location information gain. In contrast to traditional AP selection methods which measure the discriminant ability of APs independently, we consider it jointly. By considering the correlation of the discriminant ability between different APs, more accurate measure of the discriminant ability can be taken. Besides, support vector regression (SVR) positioning algorithm is combined to estimate the location. Experiments are carried in a realistic WLAN indoor environment. Experimental results show that, by using the intelligent AP selection method, the proposed positioning algorithm maintains a high-level accuracy while reducing the energy consumption on client device significantly.

AB - Indoor positioning system in wireless local area network (WLAN) has been receiving increasing interest in pervasive computing applications. To keep balance between energy consumption on client device and positioning accuracy, AP selection strategy is always proposed to select the most discriminant APs for positioning. In this paper, we propose an intelligent AP selection method based on joint location information gain. In contrast to traditional AP selection methods which measure the discriminant ability of APs independently, we consider it jointly. By considering the correlation of the discriminant ability between different APs, more accurate measure of the discriminant ability can be taken. Besides, support vector regression (SVR) positioning algorithm is combined to estimate the location. Experiments are carried in a realistic WLAN indoor environment. Experimental results show that, by using the intelligent AP selection method, the proposed positioning algorithm maintains a high-level accuracy while reducing the energy consumption on client device significantly.

KW - AP selection

KW - indoor positioning

KW - support vector regression

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M3 - 会议稿件

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BT - Proceedings of the 2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011

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ER -

Deng Z, Ma L, Xu Y. Intelligent AP selection for indoor positioning in wireless local area network. In Proceedings of the 2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011. 2011. p. 257-261. 6158159. (Proceedings of the 2011 6th International ICST Conference on Communications and Networking in China, CHINACOM 2011). doi: 10.1109/ChinaCom.2011.6158159

Intelligent AP selection for indoor positioning in wireless local area network

Abstract

Publication series

Conference

UN SDGs

Keywords

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