Average Time Synchronization Algorithm Based on Dynamic Clustering

One of the characteristics of wireless networks is variable topology, but the convergent speed and accuracy of the algorithms for dynamic topology time synchronization are not satisfactory at this stage. Aiming at this problem, this paper proposes a dynamic clustering based on the synchronization algorithm of average time (DC-ATS). When the network topology is changed, the network topology dynamically maintained firstly, then the time synchronization is performed for the primary and secondary networks. Through simulation experiments, it is shown that this algorithm effectively improves the convergence speed and synchronization accuracy.