NDLI: Incentives for Delay-Constrained Data Query and Feedback in Mobile Opportunistic Crowdsensing

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Incentives for Delay-Constrained Data Query and Feedback in Mobile Opportunistic Crowdsensing

Content Provider	MDPI
Author	Liu, Yang Li, Fan Wang, Yu
Abstract	In this paper, we propose effective data collection schemes that stimulate cooperation between selfish users in mobile opportunistic crowdsensing. A query issuer generates a query and requests replies within a given delay budget. When a data provider receives the query for the first time from an intermediate user, the former replies to it and authorizes the latter as the owner of the reply. Different data providers can reply to the same query. When a user that owns a reply meets the query issuer that generates the query, it requests the query issuer to pay credits. The query issuer pays credits and provides feedback to the data provider, which gives the reply. When a user that carries a feedback meets the data provider, the data provider pays credits to the user in order to adjust its claimed expertise. Queries, replies and feedbacks can be traded between mobile users. We propose an effective mechanism to define rewards for queries, replies and feedbacks. We formulate the bargain process as a two-person cooperative game, whose solution is found by using the Nash theorem. To improve the credit circulation, we design an online auction process, in which the wealthy user can buy replies and feedbacks from the starving one using credits. We have carried out extensive simulations based on real-world traces to evaluate the proposed schemes.
File Size	429056
File Format	PDF
e-ISSN	14248220
DOI	10.3390/s16071138
Journal	Sensors
Issue Number	7
Volume Number	16
Language	English
Publisher Date	2016-07-21
Access Restriction	Open
Subject Keyword	mobile opportunistic crowdsensing incentive mechanism data query two-person cooperative game optimal stopping theory
Content Type	Text
Resource Type	Article

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