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

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 int...

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Main Authors: Yang Liu, Fan Li, Yu Wang
Format: Article
Language:English
Published: MDPI AG 2016-07-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/16/7/1138
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author Yang Liu
Fan Li
Yu Wang
author_facet Yang Liu
Fan Li
Yu Wang
author_sort Yang Liu
collection DOAJ
description 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.
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spelling doaj.art-c4b134cf77374925904ac554ac24fd752022-12-22T04:10:21ZengMDPI AGSensors1424-82202016-07-01167113810.3390/s16071138s16071138Incentives for Delay-Constrained Data Query and Feedback in Mobile Opportunistic CrowdsensingYang Liu0Fan Li1Yu Wang2School of Automation, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, ChinaSchool of Computer Science and Technology, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, ChinaCollege of Computing and Informatics, University of North Carolina at Charlotte, 9201 University City Blvd., Charlotte, NC 28223-0001, USAIn 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.http://www.mdpi.com/1424-8220/16/7/1138mobile opportunistic crowdsensingincentive mechanismdata querytwo-person cooperative gameoptimal stopping theory
spellingShingle Yang Liu
Fan Li
Yu Wang
Incentives for Delay-Constrained Data Query and Feedback in Mobile Opportunistic Crowdsensing
Sensors
mobile opportunistic crowdsensing
incentive mechanism
data query
two-person cooperative game
optimal stopping theory
title Incentives for Delay-Constrained Data Query and Feedback in Mobile Opportunistic Crowdsensing
title_full Incentives for Delay-Constrained Data Query and Feedback in Mobile Opportunistic Crowdsensing
title_fullStr Incentives for Delay-Constrained Data Query and Feedback in Mobile Opportunistic Crowdsensing
title_full_unstemmed Incentives for Delay-Constrained Data Query and Feedback in Mobile Opportunistic Crowdsensing
title_short Incentives for Delay-Constrained Data Query and Feedback in Mobile Opportunistic Crowdsensing
title_sort incentives for delay constrained data query and feedback in mobile opportunistic crowdsensing
topic mobile opportunistic crowdsensing
incentive mechanism
data query
two-person cooperative game
optimal stopping theory
url http://www.mdpi.com/1424-8220/16/7/1138
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