Paper Abstract and Keywords |
Presentation |
2020-06-19 11:15
An Investigation of Fingerprint-based Room Detection Method Using IEEE 802.15.4 Wireless Network Pradini Puspitaningayu, Nobuo Funabiki, Rahardhita Widyatra Sudibyo, Minoru Kuribayashi (Okayama Univ.) NS2020-30 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, indoor positioning systems (IPS) using wireless networks has been gained much attention for wide-range purposes. However, fluctuations of wireless signals may contribute a serious drawback in the accuracy. In a lot of practical applications of indoor positioning, the detection of the current room inside a building may be sufficient. Then, the signal strength in each room can be much different from the one in another room, such that the signal fluctuation can be neglected. In this paper, we investigate a fingerprint-based room detection method using the IEEE 802.15.4 wireless network. This standard consumes much smaller energy than IEEE 802.11 Wi-Fi, which is suitable for long-time use with a small battery. Our method selects the room whose fingerprint composed of the average signal strength and the packet loss rate is closest to the measured one. Through experiments in two buildings in Okayama University, we confirm the feasibility of the proposal. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
room detection / fingerprint / IEEE 802.15.4 / signal strength / packet loss rate / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 69, NS2020-30, pp. 49-54, June 2020. |
Paper # |
NS2020-30 |
Date of Issue |
2020-06-11 (NS) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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NS2020-30 |
Conference Information |
Committee |
PN NS OCS |
Conference Date |
2020-06-18 - 2020-06-19 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
NS |
Conference Code |
2020-06-PN-NS-OCS |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
An Investigation of Fingerprint-based Room Detection Method Using IEEE 802.15.4 Wireless Network |
Sub Title (in English) |
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Keyword(1) |
room detection |
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fingerprint |
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IEEE 802.15.4 |
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signal strength |
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packet loss rate |
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1st Author's Name |
Pradini Puspitaningayu |
1st Author's Affiliation |
Okayama University (Okayama Univ.) |
2nd Author's Name |
Nobuo Funabiki |
2nd Author's Affiliation |
Okayama University (Okayama Univ.) |
3rd Author's Name |
Rahardhita Widyatra Sudibyo |
3rd Author's Affiliation |
Okayama University (Okayama Univ.) |
4th Author's Name |
Minoru Kuribayashi |
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Okayama University (Okayama Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-06-19 11:15:00 |
Presentation Time |
25 minutes |
Registration for |
NS |
Paper # |
NS2020-30 |
Volume (vol) |
vol.120 |
Number (no) |
no.69 |
Page |
pp.49-54 |
#Pages |
6 |
Date of Issue |
2020-06-11 (NS) |
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