Towards Intelligent Mobile Crowdsensing With Task State Information Sharing Over Edge-Assisted UAV Networks-Reference-Cited by-同舟云学术

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Towards Intelligent Mobile Crowdsensing With Task State Information Sharing Over Edge-Assisted UAV Networks

Published:2024-08 Issue:8 Volume:73 Page:11773-11788
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Deng Liyuan¹^ORCID,Gong Wei¹^ORCID,Liwang Minghui²^ORCID,Li Li¹^ORCID,Zhang Baoxian³^ORCID,Li Cheng⁴^ORCID

Affiliation:

1. Department of Control Science and Engineering, Tongji University, Shanghai, China

2. School of Informatics, Xiamen University, Xiamen, China

3. Research Center of Ubiquitous Sensor Networks, University of Chinese Academy of Sciences, Beijing, China

4. School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada

Funder

National Key Research and Development Program of China

Shanghai Pujiang Program

Fundamental Research Funds for the Central Universities

Shanghai Municipal Science and Technology, China

National Natural Science Foundation of China

SFU University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/25/10637911/10444052.pdf?arnumber=10444052

Reference42 articles.

1. Incentives for Mobile Crowd Sensing: A Survey

2. Task Assignment in Mobile Crowdsensing: Present and Future Directions

3. Traffic Efficiency Models for Urban Traffic Management Using Mobile Crowd Sensing: A Survey

4. Crowdsensing 2.0

5. Social-Aware UAV-Assisted Mobile Crowd Sensing in Stochastic and Dynamic Environments for Disaster Relief Networks

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. Optimizing Task Offloading for Collaborative Unmanned Aerial Vehicles (UAVs) in Fog–Cloud Computing Environments;IEEE Access;2024

2. Farthest Agent Selection With Episode-Wise Observations for Real-Time Multi-Agent Reinforcement Learning Applications;IEEE Access;2024

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