TY - GEN
T1 - Lightweight Joint Optimization of Clustering and Trajectory for UAV-Assisted WSNs
AU - Chu, Chenhui
AU - Xiao, Bo
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - UAV-assisted data collection in wireless sensor networks offers flexibility and cost-efficiency, yet faces challenges from complex air-ground coupling and joint trajectory-resource optimization. Traditional deep reinforcement learning (DRL) methods still struggle with limited deployment capability on embedded platforms. This paper proposes a lightweight DQN framework with structured pruning to jointly optimize UAV path planning and cluster head selection. The approach employs forward-activation-based pruning for model compression. Simulations show that the proposed method outperforms ACO, with model size reduced by up to 90% while maintaining real-time performance suitable for UAV deployment.
AB - UAV-assisted data collection in wireless sensor networks offers flexibility and cost-efficiency, yet faces challenges from complex air-ground coupling and joint trajectory-resource optimization. Traditional deep reinforcement learning (DRL) methods still struggle with limited deployment capability on embedded platforms. This paper proposes a lightweight DQN framework with structured pruning to jointly optimize UAV path planning and cluster head selection. The approach employs forward-activation-based pruning for model compression. Simulations show that the proposed method outperforms ACO, with model size reduced by up to 90% while maintaining real-time performance suitable for UAV deployment.
KW - deep Q network (DQN)
KW - pruning
KW - unmanned aerial vehicle (UAV)
KW - wireless sensor network (WSN)
UR - https://www.scopus.com/pages/publications/105041626571
U2 - 10.1109/CISCE69494.2026.11504648
DO - 10.1109/CISCE69494.2026.11504648
M3 - 会议稿件
AN - SCOPUS:105041626571
T3 - 2026 IEEE 8th International Conference on Communications, Information System and Computer Engineering, CISCE 2026
SP - 238
EP - 241
BT - 2026 IEEE 8th International Conference on Communications, Information System and Computer Engineering, CISCE 2026
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE International Conference on Communications, Information System and Computer Engineering, CISCE 2026
Y2 - 27 March 2026 through 29 March 2026
ER -