| Presentation | 2021-11-25 An adaptive spreading factor allocation method to dynamic environmental changes using Thermodynamical genetic algorithm for LoRaWAN Yuki Fujita, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Evolution of living things / diversity / TDGA / GA / LPWA / Multi-objective optimization |
| Paper # | CQ2021-70 |
| Date of Issue | 2021-11-18 (CQ) |
| Conference Information | |
| Committee | CQ / ICM / NS |
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| Conference Date | 2021/11/25(2days) |
| 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. |
| Chair | Jun Okamoto(NTT) / Kazuhiko Kinoshita(Tokushima Univ.) / Akihiro Nakao(Univ. of Tokyo) |
| Vice Chair | Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.) / Haruo Ooishi(NTT) / Eiji Takahashi(NEC) / Tetsuya Oishi(NTT) |
| Secretary | Takefumi Hiraguri(NTT) / Gou Hasegawa(Ritsumeikan Univ.) / Haruo Ooishi(Bosco) / Eiji Takahashi(Fujitsu) / Tetsuya Oishi(NTT) |
| Assistant | Yoshiaki Nishikawa(NEC) / Ryoichi Kataoka(KDDI Research) / Kimiko Kawashima(NTT) / Yoshifumi Kato(NTT) / Kotaro Mihara(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Communication Quality / Technical Committee on Information and Communication Management / Technical Committee on Network Systems |
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| Language | JPN |
| 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 |
| 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.) |
| Date | 2021-11-25 |
| Paper # | CQ2021-70 |
| Volume (vol) | vol.121 |
| Number (no) | CQ-263 |
| Page | pp.pp.29-34(CQ), |
| #Pages | 6 |
| Date of Issue | 2021-11-18 (CQ) |