TY - GEN
T1 - Adaptive UAV Swarm Networking with Reception Determined Routing
AU - Qiu, Xiaohan
AU - Zhang, Shan
AU - Wang, Zhiyuan
AU - Luo, Hongbin
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Due to the intermittent nature of wireless transmission, link state awareness is important to enhance the success probability and efficiency of unmanned aerial vehicles (UAV) networking, which is however resource consuming especially in the high mobility scenario. In this paper, we utilize the broadcast feature of wireless channels to infer the real-time link state along with packet forwarding, and propose a reception determined routing (RDR) mechanism. Specifically, for each hop, the transmission node broadcasts the packet, and multiple reception nodes together decide the optimal one to forward the packet based on packet reception, network topology, and historical paths. The key challenge lies in making appropriate decisions based on fused information distributively. A path repair mechanism is also proposed to further enhance routing reliability by dealing with node mobility and link down. Packetlevel simulation results show that RDR achieves a higher packet delivery ratio (up to 62.3 %) and supports larger network scales (up to 79.5 % improvements) compared to state-of-the-art mechanisms.
AB - Due to the intermittent nature of wireless transmission, link state awareness is important to enhance the success probability and efficiency of unmanned aerial vehicles (UAV) networking, which is however resource consuming especially in the high mobility scenario. In this paper, we utilize the broadcast feature of wireless channels to infer the real-time link state along with packet forwarding, and propose a reception determined routing (RDR) mechanism. Specifically, for each hop, the transmission node broadcasts the packet, and multiple reception nodes together decide the optimal one to forward the packet based on packet reception, network topology, and historical paths. The key challenge lies in making appropriate decisions based on fused information distributively. A path repair mechanism is also proposed to further enhance routing reliability by dealing with node mobility and link down. Packetlevel simulation results show that RDR achieves a higher packet delivery ratio (up to 62.3 %) and supports larger network scales (up to 79.5 % improvements) compared to state-of-the-art mechanisms.
KW - UAV swarm networks
KW - forwarding priority
KW - reception determined
KW - routing and forwarding
UR - https://www.scopus.com/pages/publications/105019047900
U2 - 10.1109/VTC2025-Spring65109.2025.11174672
DO - 10.1109/VTC2025-Spring65109.2025.11174672
M3 - 会议稿件
AN - SCOPUS:105019047900
T3 - IEEE Vehicular Technology Conference
BT - 2025 IEEE 101st Vehicular Technology Conference, VTC 2025-Spring 2025 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 101st IEEE Vehicular Technology Conference, VTC 2025-Spring 2025
Y2 - 17 June 2025 through 20 June 2025
ER -