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| Presentation | 2013-11-28 10:00 [Poster Presentation] Localization Where Conventional Methods Are Unavailable -- Approach of Using Received Signal Strength -- Keisuke Okawa, Shinsuke Hara (Osaka City Univ.)  ASN2013-94 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | When disaster happens in houses and buildings, indoor localization for survivors and rescuers is the most essential, but conventional localization methods such as using GPS (Global Positioning System) and anchor nodes with known locations are often unavailable. This paper proposes a localization method where conventional localization methods are unavailable, which uses UAVs (Unmanned Aerial Vehicles) as reference nodes and RSS (Received Signal Strength) as a ranging tool. Generally, a building or house is composed of not a single empty part but several sub-parts partitioned by walls and doors giving large attenuations to the wireless signal for ranging, and furthermore, there are several obstacles also giving large attenuations there. Consequently, an RSS localization using UAVs for a target located indoors is very difficult, because UAVs located at different positions receive the wireless signals subject to unknown different attenuations in addition to near/far effect and fading. First of all, using the RSS values measured among UAVs located at the outside of a building of interest, to identify the attenuation structure for the building, the proposed method constructs “an attenuation map” by means of wireless tomography. Here, using the sparse nature of attenuation obstacles, to reduce the computation complexity, compressed sensing is applied. Then, the proposed method localizes a target by means of RSSI with help of the constructed attenuation map. This paper shows the concept of the proposed RSS-based localization in detail. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | localization / UAV (Unmanned Aerial Vehicle) / RSS (Received Signal Strength) / wireless tomography / compressed sensing / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 113, no. 328, ASN2013-94, pp. 31-34, Nov. 2013. | |
| Paper # | ASN2013-94 | |
| Date of Issue | 2013-11-21 (ASN) | |
| ISSN | Print edition: ISSN 0913-5685 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) | |
| Download PDF | ASN2013-94 |
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| Conference Information | |
| Committee | ASN |
| Conference Date | 2013-11-28 - 2013-11-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Ambient Intelligence, Sensor Networks, Smart Structure, Smart City, Structural Health Monitoring, ZEB, etc. |
| Paper Information | |
| Registration To | ASN |
| Conference Code | 2013-11-ASN |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Localization Where Conventional Methods Are Unavailable |
| Sub Title (in English) | Approach of Using Received Signal Strength |
| Keyword(1) | localization |
| Keyword(2) | UAV (Unmanned Aerial Vehicle) |
| Keyword(3) | RSS (Received Signal Strength) |
| Keyword(4) | wireless tomography |
| Keyword(5) | compressed sensing |
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| Keyword(7) | |
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| 1st Author's Name | Keisuke Okawa |
| 1st Author's Affiliation | Osaka City University (Osaka City Univ.) |
| 2nd Author's Name | Shinsuke Hara |
| 2nd Author's Affiliation | Osaka City University (Osaka City Univ.) |
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| Speaker | Author-1 |
| Date Time | 2013-11-28 10:00:00 |
| Presentation Time | 120 minutes |
| Registration for | ASN |
| Paper # | ASN2013-94 |
| Volume (vol) | vol.113 |
| Number (no) | no.328 |
| Page | pp.31-34 |
| #Pages | 4 |
| Date of Issue | 2013-11-21 (ASN) |
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