| Presentation | 2017-12-15 An efficient sensor data collection method using CNN Zhishu Shen, Kenji Yokota, Atsushi Tagami, Teruo Higashino, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | With the construction of large-scale IoT environments, the traffic volume will explosively increase for collecting sensor data to the Cloud. In this paper, we propose an efficient sensor data collection method for the Fog node utilizing machine learning. The Fog nodes introduce classifiers for estimating an abnormal state (e.g., extremely high sensor temperature data by comparing to the neighboring sensor data). Only when an abnormal state is detected by classifiers, Fog nodes will send the related data to the Cloud. As a result, the traffic volume to the Cloud can be significantly reduced. Furthermore, we verify the effectiveness of our proposed method by using real sensor data collected from a commercial facility. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Sensor network / Machine learning |
| Paper # | IN2017-65 |
| Date of Issue | 2017-12-07 (IN) |
| Conference Information | |
| Committee | IA / IN |
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| Conference Date | 2017/12/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hiroshima City Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc. |
| Chair | Katsuyoshi Iida(Hokkaido Univ.) / Katsunori Yamaoka(Tokyo Inst. of Tech.) |
| Vice Chair | Rei Atarashi(IIJ) / Hiroyuki Osaki(Kwansei Gakuin Univ.) / Tomoki Yoshihisa(Osaka Univ.) / Takuji Kishida(NTT) |
| Secretary | Rei Atarashi(Tokyo Metropolitan Univ.) / Hiroyuki Osaki(TOYOTA-IT) / Tomoki Yoshihisa(NTT) / Takuji Kishida(NTT) |
| Assistant | Kenji Ohira(Tokushima Univ.) / Ryohei Banno(NTT) / Toshiki Watanabe(NEC) |
| Paper Information | |
| Registration To | Technical Committee on Internet Architecture / Technical Committee on Information Networks |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An efficient sensor data collection method using CNN |
| Sub Title (in English) | |
| Keyword(1) | Sensor network |
| Keyword(2) | Machine learning |
| 1st Author's Name | Zhishu Shen |
| 1st Author's Affiliation | KDDI Research, Inc.(KDDI Research) |
| 2nd Author's Name | Kenji Yokota |
| 2nd Author's Affiliation | KDDI Research, Inc.(KDDI Research) |
| 3rd Author's Name | Atsushi Tagami |
| 3rd Author's Affiliation | KDDI Research, Inc.(KDDI Research) |
| 4th Author's Name | Teruo Higashino |
| 4th Author's Affiliation | Osaka University(Osaja Univ.) |
| Date | 2017-12-15 |
| Paper # | IN2017-65 |
| Volume (vol) | vol.117 |
| Number (no) | IN-353 |
| Page | pp.pp.115-120(IN), |
| #Pages | 6 |
| Date of Issue | 2017-12-07 (IN) |