JOURNAL ARTICLE
AUV Wireless Cluster Networks-based Multi-Target Tracking: A Software-Defined Multi-Teacher-Student Reinforcement Learning Approach
Shengchao ZhuGuangjie HanChuan LinYuan LiuYu He
Year: 2025 Journal: IEEE Transactions on Mobile Computing Pages: 1-15 Publisher: IEEE Computer Society
Keywords:
Reinforcement learning Wireless Cluster (spacecraft) Wireless network Base station Mobile computing
Metrics
0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.68
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Topics
Energy Efficient Wireless Sensor Networks
Physical Sciences → Computer Science → Computer Networks and Communications
UAV Applications and Optimization
Physical Sciences → Engineering → Aerospace Engineering
Underwater Vehicles and Communication Systems
Physical Sciences → Engineering → Ocean Engineering
Related Documents
JOURNAL ARTICLE
Underwater Target Tracking Based on Interrupted Software-Defined Multi-AUV Reinforcement Learning: A Multi-AUV Time-Saving MARL Approach
Shengchao ZhuGuangjie HanChuan LinYu Zhang
Journal: IEEE Transactions on Mobile Computing Year: 2024 Vol: 24 (3)Pages: 2124-2136
JOURNAL ARTICLE
Underwater Target Tracking Based on Hierarchical Software-Defined Multi-AUV Reinforcement Learning: A Multi-AUV Advantage-Attention Actor-Critic Approach
Shengchao ZhuGuangjie HanChuan LinQiuzi Tao
Journal: IEEE Transactions on Mobile Computing Year: 2024 Vol: 23 (12)Pages: 13639-13653
JOURNAL ARTICLE
Software-Defined Radar Testbed for Multi-Target Tracking
Abhishek AdhikariSameer PariharSujoy DasMarko JacovicAnthony TrezzaVasil PanoKapil R. Dandekar
Journal: 2022 IEEE Radar Conference (RadarConf22) Year: 2022 Pages: 1-6
JOURNAL ARTICLE
Multi-Target Tracking Method Based on Multi-Agent Collaborative Reinforcement Learning
WANG Yiran, JING Xiaochuan, JIA Fukai, SUN Yujian, TONG Yi
Journal: DOAJ (DOAJ: Directory of Open Access Journals) Year: 2020
JOURNAL ARTICLE
A Scalable Reinforcement Learning Framework for Wireless Sensor Networks: Spatiotemporal Cluster-Based Multi-Agent Reinforcement Learning
Isaiah ChirairaLing ChengManal KarmoudeR. P. MckenzieBrenton MunhungewarwaRaghav ChandnaJude Dzevela KongBevan I. SmithB. Mellado
Year: 2025 Pages: 1-10