相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Exploiting Multi-Dimensional Task Diversity in Distributed Auctions for Mobile Crowdsensing
Zhipeng Cai et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2021)
BuildSenSys: Reusing Building Sensing Data for Traffic Prediction With Cross-Domain Learning
Xiaochen Fan et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2021)
Posted Pricing for Chance Constrained Robust Crowdsensing
Yuben Qu et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2020)
HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing
Jiangtao Wang et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2020)
Incentive Mechanism for Multiple Cooperative Tasks with Compatible Users in Mobile Crowd Sensing via Online Communities
Jia Xu et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2020)
Edge Computing-Empowered Large-Scale Traffic Data Recovery Leveraging Low-Rank Theory
Chaocan Xiang et al.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING (2020)
Reward or Penalty: Aligning Incentives of Stakeholders in Crowdsourcing
Jinliang Xu et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2019)
Thanos: Incentive Mechanism with Quality Awareness for Mobile Crowd Sensing
Haiming Jin et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2019)
Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing
Jiangtao Wang et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2019)
Personalized Privacy-Preserving Task Allocation for Mobile Crowdsensing
Zhibo Wang et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2019)
Incentive Mechanisms for Crowdblocking Rumors in Mobile Social Networks
Yaguang Lin et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)
Mutual-Preference Driven Truthful Auction Mechanism in Mobile Crowdsensing
Zhuojun Duan et al.
2019 39TH IEEE INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2019) (2019)
Truthful Incentive Mechanism for Nondeterministic Crowdsensing with Vehicles
Guoju Gao et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2018)
Multi-Task Allocation in Mobile Crowd Sensing with Individual Task Quality Assurance
Jiangtao Wang et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2018)
Quality-Aware Pricing for Mobile Crowdsensing
Kai Han et al.
IEEE-ACM TRANSACTIONS ON NETWORKING (2018)
Privacy-Preserving Crowdsourced Spectrum Sensing
Xiaocong Jin et al.
IEEE-ACM TRANSACTIONS ON NETWORKING (2018)
Incentive Mechanism for Privacy-Aware Data Aggregation in Mobile Crowd Sensing Systems
Haiming Jin et al.
IEEE-ACM TRANSACTIONS ON NETWORKING (2018)
Multi-Dimensional Auction Mechanisms for Crowdsourced Mobile Video Streaming
Ming Tang et al.
IEEE-ACM TRANSACTIONS ON NETWORKING (2018)
(Re)Configuring Bike Station Network via Crowdsourced Information Fusion and Joint Optimization
Suining He et al.
PROCEEDINGS OF THE 2018 THE NINETEENTH INTERNATIONAL SYMPOSIUM ON MOBILE AD HOC NETWORKING AND COMPUTING (MOBIHOC '18) (2018)
Human-in-the-Loop Mobile Networks: A Survey of Recent Advancements
Lingjie Duan et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2017)
A Budget Feasible Incentive Mechanism for Weighted Coverage Maximization in Mobile Crowdsensing
Zhenzhe Zheng et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2017)
Online Pricing for Mobile Crowdsourcing with Multi-Minded Users
Kai Han et al.
MOBIHOC'17: PROCEEDINGS OF THE 18TH ACM INTERNATIONAL SYMPOSIUM ON MOBILE AD HOC NETWORKING AND COMPUTING (2017)
Incentive Mechanisms for Participatory Sensing: Survey and Research Challenges
Francesco Restuccia et al.
ACM TRANSACTIONS ON SENSOR NETWORKS (2016)
Incentives for Mobile Crowd Sensing: A Survey
Xinglin Zhang et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2016)
CARM: Crowd-Sensing Accurate Outdoor RSS Maps with Error-Prone Smartphone Measurements
Chaocan Xiang et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2016)
Budget-Feasible Online Incentive Mechanisms for Crowdsourcing Tasks Truthfully
Dong Zhao et al.
IEEE-ACM TRANSACTIONS ON NETWORKING (2016)
Calibrate without Calibrating: An Iterative Approach in Participatory Sensing Network
Chaocan Xiang et al.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2015)
Personalized task recommendation in crowdsourcing information systems - Current state of the art
David Geiger et al.
DECISION SUPPORT SYSTEMS (2014)
分享论文
