UAV Frequency-based Crowdsensing Using Grouping Multi-agent Deep Reinforcement Learning

• Published in: Ji suan ji ke xue Vol. 50; no. 2; pp. 57 - 68
• Main Authors: Zhang, Cui, Wang, En, Yang, Funing, Yang, Yongjian, Jiang, Nan
• Format: Journal Article
• Language: Chinese; English
• Published: Chongqing Guojia Kexue Jishu Bu 01.01.2023; College of Computer Science and Technology,Jilin University,Changchun 130012,China%College of Information Engineering,East China Jiao tong University,Nanchang 330013,China
• Subjects: Algorithms; Clustering; Deep learning; Machine learning; Multiagent systems; Sensors; Task scheduling; Teams; Training; Unmanned aerial vehicles; UAV Crowdsensing; Grouping multi-agent deep reinforcement learning; Frequency coverage
• ISSN: 1002-137X
• DOI: 10.11896/jsjkx.221100114

Mobile CrowdSensing（MCS） is a promising sensing paradigm that recruits users to cooperatively perform sensing tasks.Recently, unmanned aerial vehicles（UAVs） as the powerful sensing devices are used to replace user participation and carry out some special tasks, such as epidemic monitoring and earthq...