A Fuzzy Clock Synchronization Algorithm for Real-time Ethernet

2012 ◽  
Vol 4 (8) ◽  
pp. 181-189
Author(s):  
Haofei Xie ◽  
Yongkang Xing
Keyword(s):  
Real Time ◽  
Clock Synchronization ◽  
Synchronization Algorithm

Analysis and Simulation on Clock Resynchronization in Time Triggered Architecture

2014 ◽  
Vol 556-562 ◽  
pp. 4408-4411
Author(s):  
Chun Xu ◽  
Yue Lin ◽  
Ya Nan Gao ◽  
Song Tao Fan
Keyword(s):  
Real Time ◽  
Fault Tolerant ◽  
Clock Synchronization ◽  
Formal Analysis ◽  
Synchronization Process ◽  
Matlab Simulink ◽  
Clock Drift ◽  
Synchronization Algorithm

An improved clock synchronization algorithm for time triggered architecture has been proposed in this paper. A single reference real time is added in the system, so periodically calibration to real time can be achieved. This algorithm is based on the classical Welch-Lynch[1] fault tolerant clock synchronization process. Systematic clock drift problem has been solved by using the algorithm. Formal analysis is presented, and verification is taken on Matlab/Simulink platform. Simulation result has verified the performance of the algorithm, and the clock difference is bounded as expected.

scholarly journals A Clock Synchronization Algorithm for the Satellite System Based on MF-TDMA

2021 ◽  
Vol 1815 (1) ◽  
pp. 012023
Author(s):  
Min Zhang ◽  
Linlin Duan ◽  
Kexian Gong ◽  
Xiaoyan Liu ◽  
Qian Cheng
Keyword(s):  
Clock Synchronization ◽  
Satellite System ◽  
Synchronization Algorithm

scholarly journals Adaptive Fractional-Order Operator Clock Synchronization Algorithm Based on Grey Prediction

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Hongwei Yang ◽  
Long Wang ◽  
Jing Zhang ◽  
Li Li
Keyword(s):  
Fractional Order ◽  
Clock Synchronization ◽  
Sensor Nodes ◽  
Prediction Algorithm ◽  
Grey Prediction ◽  
Order Operator ◽  
Message Transmission ◽  
Synchronization Algorithm ◽  
Improved Stability ◽  
Clock Offset

As a result of the influence of clock drift and uncertainty delay in synchronous message transmission, the clock synchronization model based on statistical distribution cannot accurately describe clock deviation. This model also requires a large number of timestamp samples that cause a storage occupation issue for wireless sensor nodes with limited resources. The modeling method based on grey prediction has advantages of low sample demand and simple modeling process. However, the accuracy of the existing clock synchronization models needs to be improved. Based on the grey prediction theory, this paper proposes an adaptive fractional-order operator clock synchronization algorithm considering uncertainty delay. First, based on the clock model and clock offset model, the frequency offset between nodes is optimized by taking the mean on the clock frequencies. Second, a grey prediction algorithm based on a fractional-order operator is proposed by estimating the uncertainty delay in message transmission to obtain the clock offset. Finally, the order of the fractional-order accumulation is adjusted adaptively in the grey prediction model according to the collected timestamp sample values so that the estimation of the uncertainty delay is more accurate, thereby improving the accuracy of the clock offset. Compared with the first-order accumulative grey prediction clock synchronization algorithms and timing-sync protocol for sensor networks, the proposed scheme improved the synchronization accuracy by 29.18% and 44.01%, respectively, and reduced the variance of the clock offset by 48.66% and 64.89%. Thus, the proposed algorithm is characterized by improved stability.

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