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| Paper Abstract and Keywords | ||
| Presentation | 2021-11-25 16:45 An adaptive spreading factor allocation method to dynamic environmental changes using Thermodynamical genetic algorithm for LoRaWAN Yuki Fujita, Daichi Kominami (Osaka Univ.), Hideyuki Shimonishi (Osaka Univ./NEC), Masayuki Murata (Osaka Univ.)  CQ2021-70 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Low Power Wide Area (LPWA) is a novel communication technology for realizing Internet of Things (IoT) networks, and Long Range Wide Area Network (LoRaWAN) is a major research target in LPWA. LoRaWAN is capable of dynamically changing the data rate and transmission power of nodes in order to improve the packet delivery rate and achieve energy saving. However due to the low transmission speed of LoRaWAN, it is difficult to grasp the network condition by collecting information from each node, calculate the optimal data rate and assign it to each node. In this paper, we propose a spreading factor allocation method inspired by the evolutionary mechanism of living organisms that simultaneously improves packet delivery rate and energy saving even in a fluctuating network environment. Through a computer simulation, we show that optimization of such two metrics can be achieved even in a fluctuating environment. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Evolution of living things / diversity / TDGA / GA / LPWA / Multi-objective optimization / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 263, CQ2021-70, pp. 29-34, Nov. 2021. | |
| Paper # | CQ2021-70 | |
| Date of Issue | 2021-11-18 (CQ) | |
| 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 | CQ2021-70 |
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| Conference Information | |
| Committee | CQ ICM NS NV |
| Conference Date | 2021-11-25 - 2021-11-26 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | JR Hakata Stn. Hakata EkiHigashi Rental Room |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Network quality, Network measurement/management, Network virtualization, Network service, Blockchain, Security, Network intelligence/AI, etc. |
| Paper Information | |
| Registration To | CQ |
| Conference Code | 2021-11-CQ-ICM-NS-NV |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An adaptive spreading factor allocation method to dynamic environmental changes using Thermodynamical genetic algorithm for LoRaWAN |
| Sub Title (in English) | |
| Keyword(1) | Evolution of living things |
| Keyword(2) | diversity |
| Keyword(3) | TDGA |
| Keyword(4) | GA |
| Keyword(5) | LPWA |
| Keyword(6) | Multi-objective optimization |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yuki Fujita |
| 1st Author's Affiliation | Osaka University (Osaka Univ.) |
| 2nd Author's Name | Daichi Kominami |
| 2nd Author's Affiliation | Osaka University (Osaka Univ.) |
| 3rd Author's Name | Hideyuki Shimonishi |
| 3rd Author's Affiliation | Osaka University/NEC (Osaka Univ./NEC) |
| 4th Author's Name | Masayuki Murata |
| 4th Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-11-25 16:45:00 |
| Presentation Time | 25 minutes |
| Registration for | CQ |
| Paper # | CQ2021-70 |
| Volume (vol) | vol.121 |
| Number (no) | no.263 |
| Page | pp.29-34 |
| #Pages | 6 |
| Date of Issue | 2021-11-18 (CQ) |
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