TY - JOUR
T1 - A Novel Consensus-Based Distributed Time Synchronization Algorithm in High-Dynamic Multi-UAV Networks
AU - Jin, Xin
AU - Ke, Sheng
AU - An, Jianping
AU - Wang, Shuai
AU - Pan, Gaofeng
AU - Niyato, Dusit
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Unmanned aerial vehicles (UAVs) have found extensive applications across diverse domains owing to their cost-effectiveness, uncomplicated structure, and adaptable takeoff and landing functionalities. Multi-UAV network systems can be coordinated to improve system performance significantly. Network time synchronization is a crucial prerequisite for establishing and operating multi-UAV networks, whereas the high-speed movement of UAVs presents challenges for time synchronization within multi-UAV networks. In this paper, we develop a practical information exchange model with high relative radial velocity and Gaussian distribution random transfer delay. By introducing Doppler information and a novel clock skew and clock offset consensus model, a Doppler and timestamp joint (DATJ) network time synchronization algorithm has been developed. Assessing the performance of the algorithms, we provide rigorous theoretical proof of network time synchronization convergence. Simulation results further validate the theoretical analysis and demonstrate that the proposed algorithm outperforms similar approaches in terms of synchronization performance.
AB - Unmanned aerial vehicles (UAVs) have found extensive applications across diverse domains owing to their cost-effectiveness, uncomplicated structure, and adaptable takeoff and landing functionalities. Multi-UAV network systems can be coordinated to improve system performance significantly. Network time synchronization is a crucial prerequisite for establishing and operating multi-UAV networks, whereas the high-speed movement of UAVs presents challenges for time synchronization within multi-UAV networks. In this paper, we develop a practical information exchange model with high relative radial velocity and Gaussian distribution random transfer delay. By introducing Doppler information and a novel clock skew and clock offset consensus model, a Doppler and timestamp joint (DATJ) network time synchronization algorithm has been developed. Assessing the performance of the algorithms, we provide rigorous theoretical proof of network time synchronization convergence. Simulation results further validate the theoretical analysis and demonstrate that the proposed algorithm outperforms similar approaches in terms of synchronization performance.
KW - Doppler information
KW - Gaussian distribution
KW - High-dynamic multi-UAV networks
KW - consensus-based network time synchronization
KW - relative radial velocity
UR - https://www.scopus.com/pages/publications/85202700007
U2 - 10.1109/TWC.2024.3447707
DO - 10.1109/TWC.2024.3447707
M3 - Article
AN - SCOPUS:85202700007
SN - 1536-1276
VL - 23
SP - 18916
EP - 18928
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 12
ER -