5 papers
Adaptive Heterogeneous Compression for Resource-Efficient Federated Knowledge Distillation
Chenwang Liu, Yijun Liu, Chang Liu +2
Federated learning (FL) enables privacy-preserving distributed model training but faces challenges from heterogeneous model architectures and limited communication resources at the…
TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs
Muhammad Umar Farooq Qaisar, Lin Zhang, Zhen Chen +3
Unmanned aerial vehicles (UAVs) have emerged as a key enabler of next-generation Internet of Things (IoT) ecosystems, offering flexible aerial relaying to extend connectivity acros…
ISAC-Enabled On-Demand UAV Charging for Wireless Rechargeable Sensor Networks
Muhammad Umar Farooq Qaisar, Lin Zhang, Paolo Bellavista +3
Unmanned aerial vehicles (UAVs) equipped with wireless power transfer (WPT) extend the lifetime of wireless rechargeable sensor networks (WRSNs) by delivering energy on demand. Thi…
Game-Theoretic Multi-Agent Reinforcement Learning for Swarm Trajectory Planning in Low-Altitude Wireless Networks
Nguyen Duc Minh Quang, Ruoxi Chong, Zhiqiang Wei +2
The Low-Altitude Economy (LAE) is rapidly expanding, giving rise to low-altitude wireless networks (LAWNs), where large-scale cellular-connected unmanned aerial vehicle (UAV) deplo…
Integration of SDN and Digital Twin for the Intelligent Detection of DoC Attacks in WRSNs
Muhammad Umar Farooq Qaisar, Weijie Yuan, Guangjie Han +3
Wireless rechargeable sensor networks (WRSNs), supported by recent advancements in wireless power transfer (WPT) technology, hold significant potential for extending network lifeti…