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Truthful Incentive Mechanisms for Social Cost Minimization in Mobile Crowdsourcing Systems
With the emergence of new technologies, mobile devices are capable of undertaking computational and sensing tasks. A large number of users with these mobile devices promote the formation of the Mobile Crowdsourcing Systems (MCSs). Within a MCS, each mobile device can contribute to the crowdsourcing...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4850995/ https://www.ncbi.nlm.nih.gov/pubmed/27058541 http://dx.doi.org/10.3390/s16040481 |
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author | Duan, Zhuojun Yan, Mingyuan Cai, Zhipeng Wang, Xiaoming Han, Meng Li, Yingshu |
author_facet | Duan, Zhuojun Yan, Mingyuan Cai, Zhipeng Wang, Xiaoming Han, Meng Li, Yingshu |
author_sort | Duan, Zhuojun |
collection | PubMed |
description | With the emergence of new technologies, mobile devices are capable of undertaking computational and sensing tasks. A large number of users with these mobile devices promote the formation of the Mobile Crowdsourcing Systems (MCSs). Within a MCS, each mobile device can contribute to the crowdsourcing platform and get rewards from it. In order to achieve better performance, it is important to design a mechanism that can attract enough participants with mobile devices and then allocate the tasks among participants efficiently. In this paper, we are interested in the investigation of tasks allocation and price determination in MCSs. Two truthful auction mechanisms are proposed for different working patterns. A Vickrey–Clarke–Groves (VCG)-based auction mechanism is proposed to the continuous working pattern, and a suboptimal auction mechanism is introduced for the discontinuous working pattern. Further analysis shows that the proposed mechanisms have the properties of individual rationality and computational efficiencies. Experimental results suggest that both mechanisms guarantee all the mobile users bidding with their truthful values and the optimal maximal social cost can be achieved in the VCG-based auction mechanism. |
format | Online Article Text |
id | pubmed-4850995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-48509952016-05-04 Truthful Incentive Mechanisms for Social Cost Minimization in Mobile Crowdsourcing Systems Duan, Zhuojun Yan, Mingyuan Cai, Zhipeng Wang, Xiaoming Han, Meng Li, Yingshu Sensors (Basel) Article With the emergence of new technologies, mobile devices are capable of undertaking computational and sensing tasks. A large number of users with these mobile devices promote the formation of the Mobile Crowdsourcing Systems (MCSs). Within a MCS, each mobile device can contribute to the crowdsourcing platform and get rewards from it. In order to achieve better performance, it is important to design a mechanism that can attract enough participants with mobile devices and then allocate the tasks among participants efficiently. In this paper, we are interested in the investigation of tasks allocation and price determination in MCSs. Two truthful auction mechanisms are proposed for different working patterns. A Vickrey–Clarke–Groves (VCG)-based auction mechanism is proposed to the continuous working pattern, and a suboptimal auction mechanism is introduced for the discontinuous working pattern. Further analysis shows that the proposed mechanisms have the properties of individual rationality and computational efficiencies. Experimental results suggest that both mechanisms guarantee all the mobile users bidding with their truthful values and the optimal maximal social cost can be achieved in the VCG-based auction mechanism. MDPI 2016-04-06 /pmc/articles/PMC4850995/ /pubmed/27058541 http://dx.doi.org/10.3390/s16040481 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Duan, Zhuojun Yan, Mingyuan Cai, Zhipeng Wang, Xiaoming Han, Meng Li, Yingshu Truthful Incentive Mechanisms for Social Cost Minimization in Mobile Crowdsourcing Systems |
title | Truthful Incentive Mechanisms for Social Cost Minimization in Mobile Crowdsourcing Systems |
title_full | Truthful Incentive Mechanisms for Social Cost Minimization in Mobile Crowdsourcing Systems |
title_fullStr | Truthful Incentive Mechanisms for Social Cost Minimization in Mobile Crowdsourcing Systems |
title_full_unstemmed | Truthful Incentive Mechanisms for Social Cost Minimization in Mobile Crowdsourcing Systems |
title_short | Truthful Incentive Mechanisms for Social Cost Minimization in Mobile Crowdsourcing Systems |
title_sort | truthful incentive mechanisms for social cost minimization in mobile crowdsourcing systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4850995/ https://www.ncbi.nlm.nih.gov/pubmed/27058541 http://dx.doi.org/10.3390/s16040481 |
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