QuaCentive: a quality-aware incentive mechanism in mobile crowdsourced sensing (MCS)
| العنوان: | QuaCentive: a quality-aware incentive mechanism in mobile crowdsourced sensing (MCS) |
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| المؤلفون: | Yufeng Wang, Jianhua Ma, Xueyu Jia, Qun Jin |
| المصدر: | The Journal of Supercomputing. 72:2924-2941 |
| بيانات النشر: | Springer Science and Business Media LLC, 2015. |
| سنة النشر: | 2015 |
| مصطلحات موضوعية: | 020203 distributed computing, Computer science, Mechanism (biology), media_common.quotation_subject, 020206 networking & telecommunications, Rationality, 02 engineering and technology, Computer security, computer.software_genre, Theoretical Computer Science, Variety (cybernetics), Reverse auction, Incentive, Hardware and Architecture, Human–computer interaction, 0202 electrical engineering, electronic engineering, information engineering, Quality (business), Profitability index, Set (psychology), computer, Software, Information Systems, Reputation, media_common |
| الوصف: | Today's smartphones with a rich set of cheap powerful embedded sensors can offer a variety of novel and efficient ways to opportunistically collect data, and enable numerous mobile crowdsourced sensing (MCS) applications. Basically, incentive is one of fundamental issues in MCS. Through appropriately integrating three popular incentive methods: reverse auction, reputation and gamification, this paper proposes a quality-aware incentive framework for MCS, QuaCentive, which, pertaining to all components in MCS, can motivate crowd to provide high-quality sensed contents, stimulate crowdsourcers to give truthful feedback about quality of sensed contents, and make platform profitable. Specifically, first, we utilize the reverse auction and reputation mechanisms to incentivize crowd to truthfully bid for sensing tasks, and then provide high-quality sensed contents. Second, in to encourage crowdsourcers to provide truthful feedbacks about quality of sensed data, in QuaCentive, the verification of those feedbacks are crowdsourced in gamification way. Finally, we theoretically illustrate that QuaCentive satisfies the following properties: individual rationality, cost-truthfulness for crowd, feedback-truthfulness for crowdsourcers, platform profitability. |
| تدمد: | 1573-0484 0920-8542 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::6defbd622a9d05131f856185473c05d7 https://doi.org/10.1007/s11227-015-1395-y |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........6defbd622a9d05131f856185473c05d7 |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 15730484 09208542 |
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