Truthful Incentive Mechanisms for Crowdsourcing

被引:0
|
作者
Zhang, Xiang [1 ]
Xue, Guoliang [1 ]
Yu, Ruozhou [1 ]
Yang, Dejun [2 ]
Tang, Jian [3 ]
机构
[1] Arizona State Univ, Tempe, AZ 85287 USA
[2] Colorado Sch Mines, Golden, CO 80401 USA
[3] Syracuse Univ, Syracuse, NY 13244 USA
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
With the prosperity of smart devices, crowdsourcing has emerged as a new computing/networking paradigm. Through the crowdsourcing platform, service requesters can buy service from service providers. An important component of crowdsourcing is its incentive mechanism. We study three models of crowdsourcing, which involve cooperation and competition among the service providers. Our simplest model generalizes the well-known user-centric model studied in a recent Mobicom paper. We design an incentive mechanism for each of the three models, and prove that these incentive mechanisms are individually rational, budget-balanced, computationally efficient, and truthful.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Truthful Incentive Mechanisms for Dynamic and Heterogeneous Tasks in Mobile Crowdsourcing
    Fan, Yue
    Sun, Hailong
    Liu, Xudong
    [J]. 2015 IEEE 27TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2015), 2015, : 881 - 888
  • [2] Truthful Incentive Mechanisms for Social Cost Minimization in Mobile Crowdsourcing Systems
    Duan, Zhuojun
    Yan, Mingyuan
    Cai, Zhipeng
    Wang, Xiaoming
    Han, Meng
    Li, Yingshu
    [J]. SENSORS, 2016, 16 (04)
  • [3] Countermeasures Against False-Name Attacks on Truthful Incentive Mechanisms for Crowdsourcing
    Zhang, Xiang
    Xue, Guoliang
    Yu, Ruozhou
    Yang, Dejun
    Tang, Jian
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2017, 35 (02) : 478 - 485
  • [4] Privacy-Preserving Incentive Mechanisms for Truthful Data Quality in Data Crowdsourcing
    Zhao, Yuxi
    Gong, Xiaowen
    Chen, Xu
    [J]. IEEE TRANSACTIONS ON MOBILE COMPUTING, 2022, 21 (07) : 2518 - 2532
  • [5] Incentive Mechanisms for Crowdsourcing Platforms
    Katmada, Aikaterini
    Satsiou, Anna
    Kompatsiaris, Ioannis
    [J]. INTERNET SCIENCE, (INSCI 2016), 2016, 9934 : 3 - 18
  • [6] Truthful Interval Cover Mechanisms for Crowdsourcing Applications
    Dayama, Pankaj
    Narayanaswamy, Balakrishnan
    Garg, Dinesh
    Narahari, Y.
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS (AAMAS'15), 2015, : 1091 - 1099
  • [7] Truthful Profit Maximization Mechanisms for Mobile Crowdsourcing
    Qiao, Yu
    Zhang, Jie
    He, Qiangqiang
    Gu, Yi
    Wu, Jun
    Zhang, Lei
    Wang, Chongjun
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [8] A Financial Incentive Mechanism for Truthful Reporting Assurance in Online Crowdsourcing Platforms
    Mohammadi, Alireza
    Hashemi Golpayegani, Seyyed Alireza
    [J]. JOURNAL OF THEORETICAL AND APPLIED ELECTRONIC COMMERCE RESEARCH, 2021, 16 (06): : 2014 - 2030
  • [9] Towards Truthful Mechanisms for Mobile Crowdsourcing with Dynamic Smartphones
    Feng, Zhenni
    Zhu, Yanmin
    Zhang, Qian
    Zhu, Hongzi
    Yu, Jiadi
    Cao, Jian
    Ni, Lionel M.
    [J]. 2014 IEEE 34TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2014), 2014, : 11 - 20
  • [10] Incentive Mechanisms for Crowdsensing: Crowdsourcing With Smartphones
    Yang, Dejun
    Xue, Guoliang
    Fang, Xi
    Tang, Jian
    [J]. IEEE-ACM TRANSACTIONS ON NETWORKING, 2016, 24 (03) : 1732 - 1744