An integrated incentive framework for mobile Crowdsourced sensing

Wei Dai, Yufeng Wang*, Qun Jin, Jianhua Ma

*この研究の対応する著者

研究成果: Article査読

21 被引用数 (Scopus)

抄録

Currently, mobile devices (e.g., smartphones) are equipped with multiple wireless interfaces and rich builtin functional sensors that possess powerful computation and communication capabilities, and enable numerous Mobile Crowdsourced Sensing (MCS) applications. Generally, an MCS system is composed of three components: A publisher of sensing tasks, crowd participants who complete the crowdsourced tasks for some kinds of rewards, and the crowdsourcing platform that facilitates the interaction between publishers and crowd participants. Incentives are a fundamental issue in MCS. This paper proposes an integrated incentive framework for MCS, which appropriately utilizes three widely used incentive methods: reverse auction, gamification, and reputation updating. Firstly, a reverse-Auction-based two-round participant selection mechanism is proposed to incentivize crowds to actively participate and provide high-quality sensing data. Secondly, in order to avoid untruthful publisher feedback about sensing-data quality, a gamification-based verification mechanism is designed to evaluate the truthfulness of the publisher's feedback. Finally, the platform updates the reputation of both participants and publishers based on their corresponding behaviors. This integrated incentive mechanism can motivate participants to provide high-quality sensed contents, stimulate publishers to give truthful feedback, and make the platform profitable.

本文言語English
論文番号7442498
ページ(範囲)146-156
ページ数11
ジャーナルTsinghua Science and Technology
21
2
DOI
出版ステータスPublished - 2016 4

ASJC Scopus subject areas

  • 一般

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