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Incentive Mechanism Design for Smartphone Crowdsensing

Authors: Yuan Zhang 0004; Yixin Fang; Sheng Zhong 0002;

Incentive Mechanism Design for Smartphone Crowdsensing

Abstract

Smartphones nowadays are regarded as outstanding carriers for mobile sensing crowdsourcing due to their pervasiveness and excellent sensing capability. However, how to properly stimulate phone users to participate remains a question. In this paper, we study incentive mechanisms in which each user bids her cost for participating and the job owners pay the users she selected for sensing. We consider a bidding style that is quite common in practical mobile phone sensing applications but has not been studied in existing work on mobile phone sensing mechanism design. We show how the job owner could properly select users and reduce her total payment at the same time even when users could submit fake costs.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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