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 | |
| 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 |
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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
Cite this
Performance of adaptive movable access point system in the presence of positioning error. / Oka, Shingo; Murakami, Tomoki; Takatori, Yasushi; Mizoguchi, Masato; Maehara, Fumiaki.
2017 IEEE Radio and Wireless Symposium, RWS 2017. IEEE Computer Society, 2017. p. 150-152 7885972.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Performance of adaptive movable access point system in the presence of positioning error
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)
UR - http://www.scopus.com/inward/record.url?scp=85018189833&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85018189833&partnerID=8YFLogxK
U2 - 10.1109/RWS.2017.7885972
DO - 10.1109/RWS.2017.7885972
M3 - Conference contribution
SP - 150
EP - 152
BT - 2017 IEEE Radio and Wireless Symposium, RWS 2017
PB - IEEE Computer Society
ER -