ARCE: Adaptive Real-time Convergence Estimation for Wireless Networks Time Synchronization
Fanrong Shi, Qiuyun Zhang, Simon X. Yang, Sijie Wang, Du Yingying, Mithun Mukherjee · 2023
Real-time convergence-estimation for time synchronization of wireless sensor networks remains unexplored by researchers. This work proposes a novel real-time convergence estimation using an adaptive real-time convergence estimation (ARCE) algorithm. The algorithm is based on synchronization error and distribution of both synchronous and asynchronous time synchronization algorithms. The actual distributions of synchronization error are analyzed and evaluated using significant amount of experimental results. According to the experimental results and simulations, the ARCE can effectively detect the convergence state for all the comparisons. Therefore, the ARCE can be used to develop an adaptive time synchronization protocol based on synchronization error distribution, which could be robust and scalable for a large-scale and random-deployed wireless networks.