| Presentation | 2020-09-11 A Routing method using machine learning for wireless multi-hop networks Yuki Tanaka, Hiroyuki Suzuki, Akio Koyama, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Researches of wireless multi-hop networks are making actively as attempting to spreading the usage range of wireless networks. In a wireless multi-hop network like wireless mesh networks, sensor networks, and ad-hoc networks, terminals and APs (Access Points) are wirelessly connected to each other to provide mobility and wide communication area. A routing method is important because terminals and APs have different processing abilities and wireless environments. In particular, concentration of load and dealing with various network environments are issues to be solved. In this paper, we propose a routing method that uses the reinforcement learning which is a kind of the machine learning to suppress the use of load-intensive routes and achieves adaptation to various network environments. As a result of performance evaluation by simulation, it is shown that the communication performance is improved compared with a conventional method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Wireless Multi-Hop Networks / Routing Protocol / Machine Learning / Reinforcement Learning / Route Reconstruction |
| Paper # | NS2020-50 |
| Date of Issue | 2020-09-03 (NS) |
| Conference Information | |
| Committee | CS / IN / NS |
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| Conference Date | 2020/9/10(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Session management (SIP/IMS), Interoperability/Standardization, NGN/NwGN/Future networks, Cloud/Data center networks, SDN (OpenFlow, etc.)/NFV, IPv6, Machine learning, etc. |
| Chair | Jun Terada(NTT) / Kenji Ishida(Hiroshima City Univ.) / Akihiro Nakao(Univ. of Tokyo) |
| Vice Chair | Daisuke Umehara(Kyoto Inst. of Tech.) / Kunio Hato(Internet Multifeed) / Tetsuya Oishi(NTT) |
| Secretary | Daisuke Umehara(Mitsubishi Electric) / Kunio Hato(NICT) / Tetsuya Oishi(Hiroshima City Univ.) |
| Assistant | Hiroyuki Saito(OKI) / Takahiro Yamaura(Toshiba) / / Shinya Kawano(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Communication Systems / Technical Committee on Information Networks / 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) | A Routing method using machine learning for wireless multi-hop networks |
| Sub Title (in English) | |
| Keyword(1) | Wireless Multi-Hop Networks |
| Keyword(2) | Routing Protocol |
| Keyword(3) | Machine Learning |
| Keyword(4) | Reinforcement Learning |
| Keyword(5) | Route Reconstruction |
| 1st Author's Name | Yuki Tanaka |
| 1st Author's Affiliation | Yamagata University(Yamagata Univ.) |
| 2nd Author's Name | Hiroyuki Suzuki |
| 2nd Author's Affiliation | Yamagata University(Yamagata Univ.) |
| 3rd Author's Name | Akio Koyama |
| 3rd Author's Affiliation | Yamagata University(Yamagata Univ.) |
| Date | 2020-09-11 |
| Paper # | NS2020-50 |
| Volume (vol) | vol.120 |
| Number (no) | NS-162 |
| Page | pp.pp.51-56(NS), |
| #Pages | 6 |
| Date of Issue | 2020-09-03 (NS) |