Cost-and-Quality Aware Data Collection for Edge-Assisted Vehicular Crowdsensing-Reference-Cited by-同舟云学术

Cost-and-Quality Aware Data Collection for Edge-Assisted Vehicular Crowdsensing

Published:2022-05 Issue:5 Volume:71 Page:5371-5386
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Liu Luning¹^ORCID,Wang Luhan²^ORCID,Lu Zhaoming¹^ORCID,Liu Yong¹,Jing Wenpeng¹^ORCID,Wen Xiangming¹^ORCID

Affiliation:

1. Beijing Laboratory of Advanced Information Networks and the Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China

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

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Beijing Nova Program of Science and Technology

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/9779385/09714882.pdf?arnumber=9714882

Reference54 articles.

1. ROVERS: Incentive-Based Recruitment of Connected Vehicles for Urban Big Data Collection

2. Deep reinforcement learning based worker selection for distributed machine learning enhanced edge intelligence in internet of vehicles

3. Distributed Social Welfare Maximization in Urban Vehicular Participatory Sensing Systems

4. Adaptive Lookup of Open WiFi Using Crowdsensing

5. Socially Privacy-Preserving Data Collection for Crowdsensing

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