Clock synchronization compensation of Time-Triggered Ethernet based on least squares algorithm

Zhang, Yingjing; He, Feng; Lu, Guangyue; Xiong, Huagang

doi:10.1109/iccchinaw.2016.7586706

Cited by 6 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The success of this scheme depends on accurate clock modeling so that its behavior under dynamic operating environments is predictable. A batch least square (LS) based estimator to minimize the clock skew has been described by many works [28][29][30]. However, in LS, when the skew changes as a result of the ignored frequency drift term, its time offset estimates quickly deviate from the true values.…”

Section: Related Workmentioning

confidence: 99%

CoSiWiNeT: A Clock Synchronization Algorithm for Wide Area IIoT Network

Gore¹,

Lisova²,

Åkerberg³

et al. 2021

Applied Sciences

View full text Add to dashboard Cite

Recent advances in the industrial internet of things (IIoT) and cyber–physical systems drive Industry 4.0 and have led to remote monitoring and control applications that require factories to be connected to remote sites over wide area networks (WAN). The adequate performance of remote applications depends on the use of a clock synchronization scheme. Packet delay variations adversely impact the clock synchronization performance. This impact is significant in WAN as it comprises wired and wireless segments belonging to public and private networks, and such heterogeneity results in inconsistent delays. Highly accurate, hardware–based time synchronization solutions, global positioning system (GPS), and precision time protocol (PTP) are not preferred in WAN due to cost, environmental effects, hardware failure modes, and reliability issues. As a software–based network time protocol (NTP) overcomes these challenges but lacks accuracy, the authors propose a software–based clock synchronization method, called CoSiWiNeT, based on the random sample consensus (RANSAC) algorithm that uses an iterative technique to estimate a correct offset from observed noisy data. To evaluate the algorithm’s performance, measurements captured in a WAN deployed within two cities were used in the simulation. The results show that the performance of the new algorithm matches well with NTP and state–of–the–art methods in good network conditions; however, it outperforms them in degrading network scenarios.

show abstract

Section: Related Workmentioning

confidence: 99%

CoSiWiNeT: A Clock Synchronization Algorithm for Wide Area IIoT Network

Gore¹,

Lisova²,

Åkerberg³

et al. 2021

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…The method of eliminating outliers based on Pauta criterion in [7] is simple, and the accuracy is relatively high, but it is only applicable to the case of a large number of samples. The robust regression algorithm in [8] have no specific requirements on the number of samples, but when the sample size is large, the computational complexity will be relatively high. Therefore, these methods have certain limitations to clock synchronization in the wireless network.…”

Section: Introductionmentioning

confidence: 99%

An anti-outlier robust clock compensated algorithm for wireless network

Chen

Gao

2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Clock synchronization technology plays an important role in wireless networks, and the improvement of clock synchronization precision has always been the goal pursued by research. This paper introduces a clock compensation technology in wireless networks, which solves two main problems influencing clock accuracy in current clock synchronization technology: time-varying clock frequency deviation and interference from outliers. In this paper, the linear regression algorithm with local weighting and least square sum estimation is used to solve the above problems. Simulation results show that the algorithm has higher clock synchronization accuracy than other algorithms, and the clock synchronization error is significantly lower than the non-robust regression algorithm when there are outliers, proving that this method can effectively resist the influence of outliers on clock synchronization accuracy.

show abstract