Incentive Mechanism for Mobile Crowdsensing in Spatial Information Prediction Using Machine Learning

Ryoichi Shinkuma, Rieko Takagi, Yuichi Inagaki, Eiji Oki, Fatos Xhafa

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Real-time prediction of spatial information such as road-traffic-related information has attracted much attention. Mobile crowdsensing (MCS), in which mobile user devices such as smartphones equipped with sensors work as distributed mobile sensors, is an effective way of collecting sensor data for real-time prediction of spatial information. Since user devices contributing to MCS incur various costs including energy cost and privacy risk, using incentive mechanisms is one approach to compensate for these costs. However, since, in general, the budget for incentive rewarding is limited, rewards should be effectively allocated with considering the contribution of sensor data to the accuracy in real-time prediction of spatial information, which has not been considered in any prior work. This paper presents a scheme to maximize the accuracy of real-time prediction when allocating incentive rewards to user devices. The proposed scheme estimates the contribution of each user device collecting and sending sensor data to the prediction accuracy. Then, the incentive reward received by a user device collecting and sending data increases in proportion to the contribution the data makes to prediction accuracy. Feature selection is used to extract the contribution of each input data point from a prediction model created by machine learning. Evaluation using a real road-traffic-related dataset demonstrated that the proposed scheme works better in terms of prediction accuracy for various cost conditions than a benchmark scheme.

本文言語English
ホスト出版物のタイトルAdvanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA 2020
編集者Leonard Barolli, Flora Amato, Francesco Moscato, Tomoya Enokido, Makoto Takizawa
出版社Springer
ページ792-803
ページ数12
ISBN(印刷版)9783030440404
DOI
出版ステータスPublished - 2020
外部発表はい
イベント34th International Conference on Advanced Information Networking and Applications, AINA 2020 - Caserta, Italy
継続期間: 2020 4 152020 4 17

出版物シリーズ

名前Advances in Intelligent Systems and Computing
1151 AISC
ISSN(印刷版)2194-5357
ISSN(電子版)2194-5365

Conference

Conference34th International Conference on Advanced Information Networking and Applications, AINA 2020
国/地域Italy
CityCaserta
Period20/4/1520/4/17

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンス(全般)

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