Optimizing Worker Selection in Collaborative Mobile Crowdsourcing-Reference-Cited by-同舟云学术

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Optimizing Worker Selection in Collaborative Mobile Crowdsourcing

Published:2023 Issue: Volume: Page:1-1
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Ding Xingjian¹^ORCID,Guo Jianxiong²^ORCID,Sun Guodong³^ORCID,Li Deying⁴^ORCID

Affiliation:

1. Faculty of Information Technology, Beijing University of Technology, Beijing, China

2. Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, China

3. School of Information, Beijing Forestry University, Beijing, China

4. School of Information, Renmin University of China, Beijing, China

Funder

National Natural Science Foundation of China

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/ielx7/6488907/6702522/10251421.pdf?arnumber=10251421

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