Cluster-Based Maximum Consensus Time Synchronization for Industrial Wireless Sensor Networks.
Cluster-Based Maximum Consensus Time Synchronization for Industrial Wireless Sensor Networks.
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DOI：
10.3390/s17010141
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发表时间：
2017-01-13
期刊：
影响因子：
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通讯作者：
Wang J
中科院分区：
文献类型：
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作者：
Wang Z;Zeng P;Zhou M;Li D;Wang J
时间同步是工业无线传感器网络（IWSNs）的关键技术之一，分簇技术被广泛应用于无线传感器网络的数据融合和信息收集，以减少冗余数据和通信开销。针对智能无线传感器网络对低能耗、快速收敛和鲁棒性的要求，提出了一种新的基于同步器的最大一致时间同步方法。它由两部分组成：簇内时间同步和簇间时间同步。该方法基于分布式一致性理论，利用最大一致性方法实现簇内时间同步，相邻簇之间通过重叠节点交换时间信息实现簇间时间同步。由于传统的通信时延随机模型在动态环境下会产生失真，本文进一步提出了一种修正的CMTS模型来抵消两个连接节点之间有界通信时延的影响.仿真结果表明，与现有方法相比，该方法减少了通信开销，提高了收敛速度，并能适应不确定的有界通信时延.
Time synchronization is one of the key technologies in Industrial Wireless Sensor Networks (IWSNs), and clustering is widely used in WSNs for data fusion and information collection to reduce redundant data and communication overhead. Considering IWSNs’ demand for low energy consumption, fast convergence, and robustness, this paper presents a novel Cluster-based Maximum consensus Time Synchronization (CMTS) method. It consists of two parts: intra-cluster time synchronization and inter-cluster time synchronization. Based on the theory of distributed consensus, the proposed method utilizes the maximum consensus approach to realize the intra-cluster time synchronization, and adjacent clusters exchange the time messages via overlapping nodes to synchronize with each other. A Revised-CMTS is further proposed to counteract the impact of bounded communication delays between two connected nodes, because the traditional stochastic models of the communication delays would distort in a dynamic environment. The simulation results show that our method reduces the communication overhead and improves the convergence rate in comparison to existing works, as well as adapting to the uncertain bounded communication delays.