Performance of adaptive movable access point system in the presence of positioning error

Shingo Oka; Tomoki Murakami; Yasushi Takatori; Masato Mizoguchi; Fumiaki Maehara

doi:10.1109/RWS.2017.7885972

Performance of adaptive movable access point system in the presence of positioning error

Shingo Oka, Tomoki Murakami, Yasushi Takatori, Masato Mizoguchi, Fumiaki Maehara

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

2 Citations (Scopus)

Abstract

This paper proposes an adaptive movable access point (AMAP) system to enhance the system capacity in dense wireless-device environments. In the proposed approach, the positions of access points (APs) are adaptively moved in accordance with clustered user distribution, which is sure to be effective in ununiform user distribution due to dense device environments. In order to derive the appropriate positions of APs, we utilize k-means method and estimate the user's position which is essential for k-means method by means of receive signal strength indicator (RSSI) or time of arrival (ToA). The effectiveness of the proposed systems is evaluated in the presence of the positioning error obtained from the experimental results concerning RSSI and ToA and is demonstrated in comparison with the fixed position of AP with equal intervals.

Original language	English
Title of host publication	2017 IEEE Radio and Wireless Symposium, RWS 2017
Publisher	IEEE Computer Society
Pages	150-152
Number of pages	3
ISBN (Electronic)	9781509034451
DOIs	https://doi.org/10.1109/RWS.2017.7885972
Publication status	Published - 2017 Mar 23
Event	2017 IEEE Radio and Wireless Symposium, RWS 2017 - Phoenix, United States Duration: 2017 Jan 15 → 2017 Jan 18

Other

Other	2017 IEEE Radio and Wireless Symposium, RWS 2017
Country	United States
City	Phoenix
Period	17/1/15 → 17/1/18

Keywords

dense wireless environment
k-means method
movable AP
receive signal strength indicator (RSSI)
time of arrival (ToA)

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Electrical and Electronic Engineering
Communication

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Oka, S, Murakami, T, Takatori, Y, Mizoguchi, M & Maehara, F 2017, Performance of adaptive movable access point system in the presence of positioning error. in 2017 IEEE Radio and Wireless Symposium, RWS 2017., 7885972, IEEE Computer Society, pp. 150-152, 2017 IEEE Radio and Wireless Symposium, RWS 2017, Phoenix, United States, 17/1/15. https://doi.org/10.1109/RWS.2017.7885972

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title = "Performance of adaptive movable access point system in the presence of positioning error",

abstract = "This paper proposes an adaptive movable access point (AMAP) system to enhance the system capacity in dense wireless-device environments. In the proposed approach, the positions of access points (APs) are adaptively moved in accordance with clustered user distribution, which is sure to be effective in ununiform user distribution due to dense device environments. In order to derive the appropriate positions of APs, we utilize k-means method and estimate the user's position which is essential for k-means method by means of receive signal strength indicator (RSSI) or time of arrival (ToA). The effectiveness of the proposed systems is evaluated in the presence of the positioning error obtained from the experimental results concerning RSSI and ToA and is demonstrated in comparison with the fixed position of AP with equal intervals.",

keywords = "dense wireless environment, k-means method, movable AP, receive signal strength indicator (RSSI), time of arrival (ToA)",

author = "Shingo Oka and Tomoki Murakami and Yasushi Takatori and Masato Mizoguchi and Fumiaki Maehara",

year = "2017",

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doi = "10.1109/RWS.2017.7885972",

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booktitle = "2017 IEEE Radio and Wireless Symposium, RWS 2017",

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note = "2017 IEEE Radio and Wireless Symposium, RWS 2017 ; Conference date: 15-01-2017 Through 18-01-2017",

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AU - Oka, Shingo

AU - Murakami, Tomoki

AU - Takatori, Yasushi

AU - Mizoguchi, Masato

AU - Maehara, Fumiaki

PY - 2017/3/23

Y1 - 2017/3/23

N2 - This paper proposes an adaptive movable access point (AMAP) system to enhance the system capacity in dense wireless-device environments. In the proposed approach, the positions of access points (APs) are adaptively moved in accordance with clustered user distribution, which is sure to be effective in ununiform user distribution due to dense device environments. In order to derive the appropriate positions of APs, we utilize k-means method and estimate the user's position which is essential for k-means method by means of receive signal strength indicator (RSSI) or time of arrival (ToA). The effectiveness of the proposed systems is evaluated in the presence of the positioning error obtained from the experimental results concerning RSSI and ToA and is demonstrated in comparison with the fixed position of AP with equal intervals.

AB - This paper proposes an adaptive movable access point (AMAP) system to enhance the system capacity in dense wireless-device environments. In the proposed approach, the positions of access points (APs) are adaptively moved in accordance with clustered user distribution, which is sure to be effective in ununiform user distribution due to dense device environments. In order to derive the appropriate positions of APs, we utilize k-means method and estimate the user's position which is essential for k-means method by means of receive signal strength indicator (RSSI) or time of arrival (ToA). The effectiveness of the proposed systems is evaluated in the presence of the positioning error obtained from the experimental results concerning RSSI and ToA and is demonstrated in comparison with the fixed position of AP with equal intervals.

KW - dense wireless environment

KW - k-means method

KW - movable AP

KW - receive signal strength indicator (RSSI)

KW - time of arrival (ToA)

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BT - 2017 IEEE Radio and Wireless Symposium, RWS 2017

PB - IEEE Computer Society

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Y2 - 15 January 2017 through 18 January 2017

ER -

Performance of adaptive movable access point system in the presence of positioning error

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Keywords

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