| Presentation | 2018-04-19 Channel assignment for LPWA networks inspired by perceptual decision-making of human brain Daichi Kominami, Kazuya Suzuki, Yohei Hasegawa, 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) technology that realizes low-power-consumption and wide-area communication is rapidly spreading. LoRa and SIGFOX are patented standards. They use the ALOHA protocol as the MAC layer protocol, and therefore, as the number of nodes increases, more data frames collide with each other. In this paper, we propose a channel assignment method for LPWA nodes where a network server recognizes wireless channel conditions and makes a decision on the channel assignment in accordance with them. Through simulation experiments, we show that our proposal can realize accurate channel assignment under the condition where the network server can utilize spatially and temporally limited control information. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Bayesian attractor model / low power wide area (LPWA) / Bayesian inference |
| Paper # | NS2018-2 |
| Date of Issue | 2018-04-12 (NS) |
| Conference Information | |
| Committee | NS |
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| Conference Date | 2018/4/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Fukuoka Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Traffic, Network evaluation, Performance, Resource control and management, Traffic engineering, Network reliability and resilience, etc. |
| Chair | Hideki Tode(Osaka Pref. Univ.) |
| Vice Chair | Yoshikatsu Okazaki(NTT) |
| Secretary | Yoshikatsu Okazaki(Kyushu Inst. of Tech.) |
| Assistant | Kenichi Kashibuchi(NTT) |
| Paper Information | |
| Registration To | 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) | Channel assignment for LPWA networks inspired by perceptual decision-making of human brain |
| Sub Title (in English) | |
| Keyword(1) | Bayesian attractor model |
| Keyword(2) | low power wide area (LPWA) |
| Keyword(3) | Bayesian inference |
| 1st Author's Name | Daichi Kominami |
| 1st Author's Affiliation | Osaka University(Osaka Univ.) |
| 2nd Author's Name | Kazuya Suzuki |
| 2nd Author's Affiliation | NEC Corporation(NEC) |
| 3rd Author's Name | Yohei Hasegawa |
| 3rd Author's Affiliation | NEC Corporation(NEC) |
| 4th Author's Name | Hideyuki Shimonishi |
| 4th Author's Affiliation | NEC Corporation(NEC) |
| 5th Author's Name | Masayuki Murata |
| 5th Author's Affiliation | Osaka University(Osaka Univ.) |
| Date | 2018-04-19 |
| Paper # | NS2018-2 |
| Volume (vol) | vol.118 |
| Number (no) | NS-6 |
| Page | pp.pp.7-12(NS), |
| #Pages | 6 |
| Date of Issue | 2018-04-12 (NS) |