Abstract

In the e-procurement platform system, all parties involved in the transaction must not deny their behavior, and a reliable time stamp of the transaction is required to solve a series of business and legal issues. Because it is relatively simple to change the user’s desktop time, the time is not highly reliable. Therefore, it is necessary to provide a time stamp service with a high degree of trust and non-repudiation. The time stamp system binds the confirmed time with specific electronic data, so ensuring node clock synchronization is the basis of fairness in the procurement platform. However, in practical applications, due to the limitations of various factors in wireless networks <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</sup> , the performance of clock synchronization will be affected <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[2]</sup> . This article will focus on the influence of noise in wireless networks on clock synchronization and study the observed discrete noise- containing data. Perform Kalman filtering, establish a clock synchronization state space model, and implement a deviation correction for the unbiased optimal estimation of the system deployment. Finally, a 6-node tree and star system are used to perform error correction comparisons to verify the effectiveness of the algorithm.

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