Dynamic Clustering-Based Time Synchronization for PLC-Assisted Power IoT in Smart Park

IEEE international Symposium on Broadband Multimedia Systems and Broadcasting Pub Date : 2023-06-14 DOI:10.1109/BMSB58369.2023.10211207

Jiapeng Xue, Sunxuan Zhang, Yutong Wang, Xiaomei Chen, Bin Liao, Zhenyu Zhou

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Abstract

The consistent response of distributed resources in smart parks needs accurate time synchronization as support. Clustering-based synchronization approaches assisted by power line communication (PLC) systems can realize efficient and low-cost time synchronization of massive power internet of things (PIoT) devices in smart parks. However, the existing time synchronization error models are not adapted to the standard beacon-based PLC time synchronization method, and the dynamic changes in topology and channel gain lead to difficulties in optimizing time synchronization clusters. To address these challenges, we develop a clustering-based time synchronization framework for PLC-assisted PIoT in smart parks and model the optimization problem of minimizing the average time synchronization error. We formulate the optimization problem as a coalition game and propose a coalition game-based dynamic clustering time synchronization algorithm (CG-DCTS) to solve it. Simulation results show that CG-DCTS achieves superior performance in time synchronization accuracy compared with other time synchronization approaches.

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基于动态聚类的智慧公园plc辅助电力物联网时间同步

智慧园区中分布式资源的一致响应需要精确的时间同步作为支持。在电力线通信(PLC)系统的辅助下，基于集群的同步方法可以实现智慧园区中大量电力物联网(PIoT)设备高效、低成本的时间同步。然而，现有的时间同步误差模型不适应标准的基于信标的PLC时间同步方法，并且拓扑和信道增益的动态变化导致时间同步集群的优化困难。为了解决这些挑战，我们为智能公园中的plc辅助PIoT开发了一个基于集群的时间同步框架，并对最小化平均时间同步误差的优化问题进行了建模。将优化问题表述为联盟博弈，提出了基于联盟博弈的动态聚类时间同步算法(CG-DCTS)。仿真结果表明，与其他时间同步方法相比，CG-DCTS在时间同步精度方面具有优越的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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IEEE international Symposium on Broadband Multimedia Systems and Broadcasting

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