Dynamic Clustering-Based Time Synchronization for PLC-TWACS Integrated Multimodal Power IoT in Smart Park

IF 4 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Systems Journal Pub Date : 2024-03-15 DOI:10.1109/JSYST.2024.3393232

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

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引用次数: 0

Abstract

Power Internet of Things devices deployed in smart parks have strict time synchronization requirements. However, due to the limited availability of 4-G/5-G, optical fiber, and satellite, how to achieve low-cost, reliable, and efficient time synchronization based on existing power line carrier (PLC) and two-way power frequency automatic communication system (TWACS) integrated multimodal communication has become a key challenge. Motivated by this, a cluster-based time synchronization network structure is proposed that seamlessly integrates PLC and TWACS, which provides an accurate synchronization model by comprehensively considering frequency offset, timestamp recorded error, timestamp jitter error, and transmission delay. Moreover, we incorporate digital phase-locked loop to compensate synchronization error by correcting frequency offset in clusters. The goal is to realize the minimization of the average time synchronization error within clusters. To achieve this goal, we introduce a coalition formation game-based dynamic clustering algorithm (CFG-DC), designed to effectively address the proposed optimization challenge. CFG-DC achieves dynamic clustering with consideration of time synchronization error awareness by performing leave-and-join decision iteratively to maximize synchronization error-based utility function. Simulation distinctly demonstrate the remarkable achievement of CFG-DC in attaining heightened levels of accuracy in time synchronization.

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基于动态聚类的智能园区 PLC-TWACS 集成多模式电力物联网时间同步

部署在智慧园区的电力物联网设备对时间同步有严格要求。然而，由于 4-G/5-G、光纤和卫星的可用性有限，如何在现有电力线载波（PLC）和双向工频自动通信系统（TWACS）集成多模通信的基础上实现低成本、可靠、高效的时间同步成为关键挑战。为此，我们提出了一种基于集群的时间同步网络结构，它将 PLC 和 TWACS 无缝集成，综合考虑了频率偏移、时间戳记录误差、时间戳抖动误差和传输延迟，提供了精确的同步模型。此外，我们还结合了数字锁相环，通过校正集群中的频率偏移来补偿同步误差。目标是实现集群内平均时间同步误差最小化。为实现这一目标，我们引入了一种基于联盟形成博弈的动态聚类算法（CFG-DC），旨在有效解决所提出的优化难题。CFG-DC 考虑了时间同步误差意识，通过迭代执行离开和加入决策来最大化基于同步误差的效用函数，从而实现动态聚类。仿真清楚地表明，CFG-DC 在实现更高水平的时间同步精度方面取得了显著成就。

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来源期刊

IEEE Systems Journal 工程技术-电信学

CiteScore

9.80

自引率

6.80%

发文量

572

审稿时长

4.9 months

期刊介绍： This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance. It intends to encourage and facilitate cooperation and interaction among IEEE Societies with systems-level and systems engineering interest, and to attract non-IEEE contributors and readers from around the globe. Our IEEE Systems Council job is to address issues in new ways that are not solvable in the domains of the existing IEEE or other societies or global organizations. These problems do not fit within traditional hierarchical boundaries. For example, disaster response such as that triggered by Hurricane Katrina, tsunamis, or current volcanic eruptions is not solvable by pure engineering solutions. We need to think about changing and enlarging the paradigm to include systems issues.