Presentation | 2019-03-05 Reward-based Allocation for Mobile Crowdsensing in Real-time Prediction of Spatial Information Rieko Takagi, Yuichi Inagaki, Ryoichi Shinkuma, Fatos Xhafa, Takehiro Sato, Eji Oki, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Real-time prediction of spatial information has attracted a lot of attention as a potential solution to social problems such as road traffic congestion. Prediction of spatial information is performed using sensor data collected independently by geographically distributed user devices, which is called mobile crowdsensing. However, conventionally, researchers assumed that user devices provide their data altruistically and did not consider that they may refuse to do that. Likewise, in mobile crowdsensing is commonly assumed that data is truthful and of equal quality. Unfortunataley, this is not always the case of participatory systems, such as mobile crowdsensing, where users participate at will and data veracity and quality are not always ensured. Therefore, in this technical report, we propose a rewarding system that incentives user devices to provide their truthful and quality data. Our system estimates temporal and spatial importance of data provided by each user device and allocates a larger amount of reward to user devices making a larger contribution to the prediction accuracy. Performance evaluation validates the effectiveness of our system by using a real dataset. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | crowdsensing / incentive / spatial information prediction / machine learning / feature selection |
Paper # | MoNA2018-72 |
Date of Issue | 2019-02-26 (MoNA) |
Conference Information | |
Committee | ASN / MoNA / IPSJ-MBL / IPSJ-UBI |
---|---|
Conference Date | 2019/3/4(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | The University of Tokyo, Komaba Campus |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | General |
Chair | Hiraku Okada(Nagoya Univ.) / Ryoichi Shinkuma(Kyoto Univ.) / / Yoshito Tobe(Tokyo Denki Univ.) |
Vice Chair | Koji Yamamoto(Kyoto Univ.) / Jin Nakazawa(Keio Univ.) / Kazuya Monden(Hitachi) / Shigeaki Tagashira(Kansai Univ.) / Gen Kitagata(Tohoku Univ.) |
Secretary | Koji Yamamoto(NICT) / Jin Nakazawa(Sophia Univ.) / Kazuya Monden(Kanagawa Inst. of Tech.) / Shigeaki Tagashira(Kyushu Univ.) / Gen Kitagata(NEC) / (Kyoto Univ.) / (NTT DOCOMO) |
Assistant | Masafumi Hashimoto(Osaka Univ.) / Tomoyuki Ota(Hiroshima City Univ.) / Tatsuya Kikuzuki(Fujitu Lab.) / Ryo Nakano(HITACHI) / Yoshifumi Hotta(Mitsubishi Electric) / Ken Usui(KDDI Research) / Kenji Kanai(Waseda Univ.) |
Paper Information | |
Registration To | Technical Committee on Ambient intelligence and Sensor Networks / Technical Committee on Mobile Network and Applications / Special Interest Group on Mobile Computing and Ubiquitous Communications / Special Interest Group on Ubiquitous Computing System |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Reward-based Allocation for Mobile Crowdsensing in Real-time Prediction of Spatial Information |
Sub Title (in English) | |
Keyword(1) | crowdsensing |
Keyword(2) | incentive |
Keyword(3) | spatial information prediction |
Keyword(4) | machine learning |
Keyword(5) | feature selection |
1st Author's Name | Rieko Takagi |
1st Author's Affiliation | Kyoto University(Kyoto Univ.) |
2nd Author's Name | Yuichi Inagaki |
2nd Author's Affiliation | Kyoto University(Kyoto Univ.) |
3rd Author's Name | Ryoichi Shinkuma |
3rd Author's Affiliation | Kyoto University(Kyoto Univ.) |
4th Author's Name | Fatos Xhafa |
4th Author's Affiliation | Polytechnic University of Catalonia(UPC) |
5th Author's Name | Takehiro Sato |
5th Author's Affiliation | Kyoto University(Kyoto Univ.) |
6th Author's Name | Eji Oki |
6th Author's Affiliation | Kyoto University(Kyoto Univ.) |
Date | 2019-03-05 |
Paper # | MoNA2018-72 |
Volume (vol) | vol.118 |
Number (no) | MoNA-467 |
Page | pp.pp.53-58(MoNA), |
#Pages | 6 |
Date of Issue | 2019-02-26 (MoNA) |