Presentation | 2016-03-04 A Study on Location Estimation Method by Wi-SUN Using Machine Learning Hiroshi Sakamoto, Hiroyuki Yasuda, Thong Huynh, Kaori Kuroda, Yozo Shoji, Mikio Hasegawa, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Wi-SUN is a wireless communication standard that has been developed as communication scheme for smart meter to record information of domestic consumption, such as electric energy, gas and water. In this paper, we study about the power-saving location detection system for wireless devices using the received signal strength indication (RSSI) of Wi-SUN. Since the RSSI between wireless devices is changed by the distance and the environments, in this paper, we apply machine learning algorithm for improving the accuracy of the position estimation. We use Support Vector Regression as a machine learning algorithm, and evaluate the performance of the proposed method by experiments in real environment using the Wi-SUN devices. We compare the proposed method with the conventional method, and show that it can significantly reduce the error by the proposed method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Wi-SUN / Location estimation / Received signal strength indication / Support Vector Machines / Machine learning |
Paper # | CCS2015-78 |
Date of Issue | 2016-02-25 (CCS) |
Conference Information | |
Committee | RCS / CCS / SR / SRW |
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Conference Date | 2016/3/2(3days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Tokyo Institute of Technology |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Mobile Communication Workshop |
Chair | Makoto Taromaru(Fukuoka Univ.) / Hiroo Sekiya(Chiba Univ.) / Takeo Fujii(Univ. of Electro-Comm.) / Hiroshi Harada(Kyoto Univ.) |
Vice Chair | Hidekazu Murata(Kyoto Univ.) / Satoshi Denno(Okayama Univ.) / Yukitoshi Sanada(Keio Univ.) / Yasuhiro Tsubo(Ritsumeikan Univ.) / Naoki Wakamiya(Osaka Univ.) / Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.) / Masayuki Ariyoshi(NEC) / Masafumi Kato(Fujitsu) / Satoshi Denno(Okayama Univ.) |
Secretary | Hidekazu Murata(Mitsubishi Electric) / Satoshi Denno(NTT DoCoMo) / Yukitoshi Sanada(Kagawa National College of Tech.) / Yasuhiro Tsubo(Kyoto Sangyo Univ.) / Naoki Wakamiya(Shinshu Univ.) / Kenta Umebayashi(NICT) / Masayuki Ariyoshi(NTT) / Masafumi Kato(NICT) / Satoshi Denno |
Assistant | Jun Mashino(NTT) / Tetsuya Yamamoto(Panasonic) / Takamichi Inoue(NEC) / Tomoya Tandai(Toshiba) / Toshihiko Nishimura(Hokkaido Univ.) / Takayuki Kimura(Nippon Inst. of Tech.) / Song-Ju Kim(NIMS) / Ryo Takahashi(Kyoto Univ.) / Junnosuke Teramae(Osaka Univ.) / Kazuto Yano(ATR) / Mamiko Inamori(Tokai Univ.) / Hiroyuki Shiba(NTT) / Gia Khanh Tran(Tokyo Inst. of Tech.) / Wen Yun(Fujitsu) / Keiichi Mizutani(Kyoto Univ.) |
Paper Information | |
Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Complex Communication Sciences / Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Study on Location Estimation Method by Wi-SUN Using Machine Learning |
Sub Title (in English) | |
Keyword(1) | Wi-SUN |
Keyword(2) | Location estimation |
Keyword(3) | Received signal strength indication |
Keyword(4) | Support Vector Machines |
Keyword(5) | Machine learning |
1st Author's Name | Hiroshi Sakamoto |
1st Author's Affiliation | Tokyo University of Science(Tokyo Univ. of Science) |
2nd Author's Name | Hiroyuki Yasuda |
2nd Author's Affiliation | Tokyo University of Science(Tokyo Univ. of Science) |
3rd Author's Name | Thong Huynh |
3rd Author's Affiliation | Tokyo University of Science(Tokyo Univ. of Science) |
4th Author's Name | Kaori Kuroda |
4th Author's Affiliation | Tokyo University of Science(Tokyo Univ. of Science) |
5th Author's Name | Yozo Shoji |
5th Author's Affiliation | National Institute of Information and Communications Technology(NICT) |
6th Author's Name | Mikio Hasegawa |
6th Author's Affiliation | Tokyo University of Science(Tokyo Univ. of Science) |
Date | 2016-03-04 |
Paper # | CCS2015-78 |
Volume (vol) | vol.115 |
Number (no) | CCS-475 |
Page | pp.pp.63-66(CCS), |
#Pages | 4 |
Date of Issue | 2016-02-25 (CCS) |