Cargando…

An Incentive Mechanism in Mobile Crowdsourcing Based on Multi-Attribute Reverse Auctions

In order to avoid malicious competition and select high quality crowd workers to improve the utility of crowdsourcing system, this paper proposes an incentive mechanism based on the combination of reverse auction and multi-attribute auction in mobile crowdsourcing. The proposed online incentive mech...

Descripción completa

Detalles Bibliográficos
Autores principales: Hu, Ying, Wang, Yingjie, Li, Yingshu, Tong, Xiangrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210786/
https://www.ncbi.nlm.nih.gov/pubmed/30322207
http://dx.doi.org/10.3390/s18103453
_version_ 1783367197214638080
author Hu, Ying
Wang, Yingjie
Li, Yingshu
Tong, Xiangrong
author_facet Hu, Ying
Wang, Yingjie
Li, Yingshu
Tong, Xiangrong
author_sort Hu, Ying
collection PubMed
description In order to avoid malicious competition and select high quality crowd workers to improve the utility of crowdsourcing system, this paper proposes an incentive mechanism based on the combination of reverse auction and multi-attribute auction in mobile crowdsourcing. The proposed online incentive mechanism includes two algorithms. One is the crowd worker selection algorithm based on multi-attribute reverse auction that adopts dynamic threshold to make an online decision for whether accept a crowd worker according to its attributes. Another is the payment determination algorithm which determines payment for a crowd worker based on its reputation and quality of sensing data, that is, a crowd worker can get payment equal to the bidding price before performing task only if his reputation reaches good reputation threshold, otherwise he will get payment based on his data sensing quality. We prove that our proposed online incentive mechanism has the properties of computational efficiency, individual rationality, budget-balance, truthfulness and honesty. Through simulations, the efficiency of our proposed online incentive mechanism is verified which can improve the efficiency, adaptability and trust degree of the mobile crowdsourcing system.
format Online
Article
Text
id pubmed-6210786
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-62107862018-11-02 An Incentive Mechanism in Mobile Crowdsourcing Based on Multi-Attribute Reverse Auctions Hu, Ying Wang, Yingjie Li, Yingshu Tong, Xiangrong Sensors (Basel) Article In order to avoid malicious competition and select high quality crowd workers to improve the utility of crowdsourcing system, this paper proposes an incentive mechanism based on the combination of reverse auction and multi-attribute auction in mobile crowdsourcing. The proposed online incentive mechanism includes two algorithms. One is the crowd worker selection algorithm based on multi-attribute reverse auction that adopts dynamic threshold to make an online decision for whether accept a crowd worker according to its attributes. Another is the payment determination algorithm which determines payment for a crowd worker based on its reputation and quality of sensing data, that is, a crowd worker can get payment equal to the bidding price before performing task only if his reputation reaches good reputation threshold, otherwise he will get payment based on his data sensing quality. We prove that our proposed online incentive mechanism has the properties of computational efficiency, individual rationality, budget-balance, truthfulness and honesty. Through simulations, the efficiency of our proposed online incentive mechanism is verified which can improve the efficiency, adaptability and trust degree of the mobile crowdsourcing system. MDPI 2018-10-14 /pmc/articles/PMC6210786/ /pubmed/30322207 http://dx.doi.org/10.3390/s18103453 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hu, Ying
Wang, Yingjie
Li, Yingshu
Tong, Xiangrong
An Incentive Mechanism in Mobile Crowdsourcing Based on Multi-Attribute Reverse Auctions
title An Incentive Mechanism in Mobile Crowdsourcing Based on Multi-Attribute Reverse Auctions
title_full An Incentive Mechanism in Mobile Crowdsourcing Based on Multi-Attribute Reverse Auctions
title_fullStr An Incentive Mechanism in Mobile Crowdsourcing Based on Multi-Attribute Reverse Auctions
title_full_unstemmed An Incentive Mechanism in Mobile Crowdsourcing Based on Multi-Attribute Reverse Auctions
title_short An Incentive Mechanism in Mobile Crowdsourcing Based on Multi-Attribute Reverse Auctions
title_sort incentive mechanism in mobile crowdsourcing based on multi-attribute reverse auctions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210786/
https://www.ncbi.nlm.nih.gov/pubmed/30322207
http://dx.doi.org/10.3390/s18103453
work_keys_str_mv AT huying anincentivemechanisminmobilecrowdsourcingbasedonmultiattributereverseauctions
AT wangyingjie anincentivemechanisminmobilecrowdsourcingbasedonmultiattributereverseauctions
AT liyingshu anincentivemechanisminmobilecrowdsourcingbasedonmultiattributereverseauctions
AT tongxiangrong anincentivemechanisminmobilecrowdsourcingbasedonmultiattributereverseauctions
AT huying incentivemechanisminmobilecrowdsourcingbasedonmultiattributereverseauctions
AT wangyingjie incentivemechanisminmobilecrowdsourcingbasedonmultiattributereverseauctions
AT liyingshu incentivemechanisminmobilecrowdsourcingbasedonmultiattributereverseauctions
AT tongxiangrong incentivemechanisminmobilecrowdsourcingbasedonmultiattributereverseauctions