Truthful Online Double Auctions for Mobile Crowdsourcing: An On-Demand Service Strategy-Reference-Cited by-同舟云学术

Truthful Online Double Auctions for Mobile Crowdsourcing: An On-Demand Service Strategy

Published:2022-09-01 Issue:17 Volume:9 Page:16096-16112
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Liu Shumei¹^ORCID,Yu Yao¹^ORCID,Guo Lei²^ORCID,Yeoh Phee Lep³^ORCID,Ni Qiang⁴^ORCID,Vucetic Branka³^ORCID,Li Yonghui³^ORCID

Affiliation:

1. School of Computer Science and Engineering and the Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China

2. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China

3. School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia

4. School of Computing and Communications and Data Science Institute, Lancaster University, Lancaster, U.K.

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

U.K. EPSRC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9866069/09714505.pdf?arnumber=9714505

Reference30 articles.

1. Budget-Feasible Online Incentive Mechanisms for Crowdsourcing Tasks Truthfully

2. A Truthful Online Mechanism for Location-Aware Tasks in Mobile Crowd Sensing

3. How to crowdsource tasks truthfully without sacrificing utility: Online incentive mechanisms with budget constraint

4. Generalized Lottery Trees: Budget-Balanced Incentive Tree Mechanisms for Crowdsourcing

5. Incentive Mechanism for Macrotasking Crowdsourcing: A Zero-Determinant Strategy Approach

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