| Paper Abstract and Keywords |
| Presentation |
2023-07-13 16:10
[Short Paper]
Detection of Hidden Nodes Using Wireless LAN Sensing Data Hayato Mukasa, Fujii Takeo (UEC) SR2023-39 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
The Internet of Things (IoT) is attracting attention for monitoring the status of equipment in indoor environments such as factories. In wireless LANs used in the IoT, carrier sense multiple access with collision avoidance (CSMA/CA) achieves autonomous distributed control. However, it is known that the communication efficiency in CSMA/CA is greatly degraded due to the hidden node problem. Therefore, to detect the occurrence of hidden nodes, this paper proposes a method for discriminating whether two nodes are hidden nodes or not by learning the information from the packets using logistic regression. Through computer simulations, when the offered load is 9 [Mbps], it is possible to discriminate whether two nodes are hidden nodes with 80%. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Indoor Environment / Hidden Node / Spectrum Database / CSMA/CA / Logistic Regression / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 123, no. 109, SR2023-39, pp. 52-54, July 2023. |
| Paper # |
SR2023-39 |
| Date of Issue |
2023-07-05 (SR) |
| 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) |
| Download PDF |
SR2023-39 |
| Conference Information |
| Committee |
SeMI RCS RCC NS SR |
| Conference Date |
2023-07-12 - 2023-07-14 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Osaka University Nakanoshima Center + Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Distributed Wireless Network, M2M (Machine-to-Machine),D2D (Device-to-Device),IoT(Internet of Things), etc |
| Paper Information |
| Registration To |
SR |
| Conference Code |
2023-07-SeMI-RCS-RCC-NS-SR |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Detection of Hidden Nodes Using Wireless LAN Sensing Data |
| Sub Title (in English) |
|
| Keyword(1) |
Indoor Environment |
| Keyword(2) |
Hidden Node |
| Keyword(3) |
Spectrum Database |
| Keyword(4) |
CSMA/CA |
| Keyword(5) |
Logistic Regression |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Hayato Mukasa |
| 1st Author's Affiliation |
The University of Electro-Communications (UEC) |
| 2nd Author's Name |
Fujii Takeo |
| 2nd Author's Affiliation |
The University of Electro-Communications (UEC) |
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| Speaker |
Author-1 |
| Date Time |
2023-07-13 16:10:00 |
| Presentation Time |
15 minutes |
| Registration for |
SR |
| Paper # |
SR2023-39 |
| Volume (vol) |
vol.123 |
| Number (no) |
no.109 |
| Page |
pp.52-54 |
| #Pages |
3 |
| Date of Issue |
2023-07-05 (SR) |