Cost-Efficient Vehicular Crowdsensing Based on Implicit Relation Aware Graph Attention Networks-Reference-Cited by-同舟云学术

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Cost-Efficient Vehicular Crowdsensing Based on Implicit Relation Aware Graph Attention Networks

Published:2023 Issue: Volume: Page:1-11
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Huo Jie¹^ORCID,Wang Luhan¹^ORCID,Wen Xiangming¹^ORCID,Gesbert David²,Lu Zhaoming¹^ORCID

Affiliation:

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

2. Department of Communications Systems, EURECOM, Sophia Antipolis, France

Funder

National Key Research and Development Program of China

Beijing Nova Program from Beijing Municipal Science and Technology Commission

BUPT Excellent Ph.D. Students Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/4389054/10256160.pdf?arnumber=10256160

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Decentralized Online Learning in Task Assignment Games for Mobile Crowdsensing;IEEE Transactions on Communications;2024-08

2. TB-HQ: An Incentive Mechanism for High-Quality Cooperation in Crowdsensing;Electronics;2024-03-26

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