TY - GEN
T1 - A Fast Weighted Clustering Algorithm for FANET
AU - Wang, Na
AU - Xiao, Meng
AU - Zhao, Zhongliang
AU - Liu, Yang
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Multiple UAVs working in groups can significantly improve the efficiency in many applications. However, how to group the UAVs adaptively is an non-easy task due to the time-varying environments and tasks requirements. This paper investigates the clustering problem in flying ad hoc network (FANET). To enhance clustering efficiency and ensure rationality and reliability of the clustering structure, we propose a Fast Weighted Clustering Algorithm (FWCA) for node management in FANET. Specifically, we utilize various factors, including remaining energy, ideal node degree difference, node mobility, and link expiration time (LET) to elect cluster heads (CHs). Then, a node clustering mechanism is proposed, including the CH election, clustering process and cluster maintenance. Simulation results demonstrate that the proposed algorithm outperforms the benchmark schemes by reducing the number of CHs and clustering delay, while achieving relatively stable clustering results.
AB - Multiple UAVs working in groups can significantly improve the efficiency in many applications. However, how to group the UAVs adaptively is an non-easy task due to the time-varying environments and tasks requirements. This paper investigates the clustering problem in flying ad hoc network (FANET). To enhance clustering efficiency and ensure rationality and reliability of the clustering structure, we propose a Fast Weighted Clustering Algorithm (FWCA) for node management in FANET. Specifically, we utilize various factors, including remaining energy, ideal node degree difference, node mobility, and link expiration time (LET) to elect cluster heads (CHs). Then, a node clustering mechanism is proposed, including the CH election, clustering process and cluster maintenance. Simulation results demonstrate that the proposed algorithm outperforms the benchmark schemes by reducing the number of CHs and clustering delay, while achieving relatively stable clustering results.
KW - Flying ad hoc network (FANET)
KW - cluster head election
KW - clustering
KW - link expiration time
UR - https://www.scopus.com/pages/publications/85206139870
U2 - 10.1109/VTC2024-Spring62846.2024.10683555
DO - 10.1109/VTC2024-Spring62846.2024.10683555
M3 - 会议稿件
AN - SCOPUS:85206139870
T3 - IEEE Vehicular Technology Conference
BT - 2024 IEEE 99th Vehicular Technology Conference, VTC2024-Spring 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 99th IEEE Vehicular Technology Conference, VTC2024-Spring 2024
Y2 - 24 June 2024 through 27 June 2024
ER -