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| Presentation | 2020-01-24 12:35 Basic study and numerical evaluations of sensor node index estimation using received power with maximum likelihood method Hiroki Honda, Kazunori Hayashi (Osaka City Univ.), Hiroki Mori (TOSHIBA)  IT2019-73 SIP2019-86 RCS2019-303 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We propose an estimation method of the correspondence between the position of each sensor node and its index (or identification) from the information of the received signal power at each sensor node in the sensor network. When building a sensor network, it is preferable to estimate the index of each node after deployment of all nodes without caring node indexes. In the proposed method, we assume that locations of all nodes are known but the correspondence between the node index and each location is unknown, and consider the estimation problem of the node index for each location using maximum likelihood method from the information of received signal power at all nodes. By computer simulations, we evaluate the estimation success rate of the proposed method both for regular and random node arrangements. We also consider a method to estimate node index by using limited terms in the likelihood function to reduce the computational complexity. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Maximum likelihood method / Sensor network / Sensor node / Node index estimation / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 377, SIP2019-86, pp. 215-220, Jan. 2020. | |
| Paper # | SIP2019-86 | |
| Date of Issue | 2020-01-16 (IT, SIP, RCS) | |
| 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 | IT2019-73 SIP2019-86 RCS2019-303 |
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| Conference Information | |
| Committee | IT SIP RCS |
| Conference Date | 2020-01-23 - 2020-01-24 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hiroshima City Youth Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SIP |
| Conference Code | 2020-01-IT-SIP-RCS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Basic study and numerical evaluations of sensor node index estimation using received power with maximum likelihood method |
| Sub Title (in English) | |
| Keyword(1) | Maximum likelihood method |
| Keyword(2) | Sensor network |
| Keyword(3) | Sensor node |
| Keyword(4) | Node index estimation |
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| 1st Author's Name | Hiroki Honda |
| 1st Author's Affiliation | Osaka City University (Osaka City Univ.) |
| 2nd Author's Name | Kazunori Hayashi |
| 2nd Author's Affiliation | Osaka City University (Osaka City Univ.) |
| 3rd Author's Name | Hiroki Mori |
| 3rd Author's Affiliation | TOSHIBA CORPORATION (TOSHIBA) |
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| Speaker | Author-1 |
| Date Time | 2020-01-24 12:35:00 |
| Presentation Time | 25 minutes |
| Registration for | SIP |
| Paper # | IT2019-73, SIP2019-86, RCS2019-303 |
| Volume (vol) | vol.119 |
| Number (no) | no.376(IT), no.377(SIP), no.378(RCS) |
| Page | pp.215-220 |
| #Pages | 6 |
| Date of Issue | 2020-01-16 (IT, SIP, RCS) |
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