Huizhu Han, Can Li, Wei Liu, Ziliang Zuo, JinKun Zhu, Jing Lei
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引用次数: 0
Abstract
Clock synchronization is a critical technology in wireless sensor networks (WSNs), providing an essential foundation for data fusion, event scheduling, and collaborative operations among network nodes. However, existing clock synchronization methods face challenge of random delay in practical applications. To address these issues, this paper first proposes a pulse-based physical layer clock synchronization method, which can achieve the synchronization directly at the physical layer, thereby avoiding the random delays introduced by the upper-layer network. Specifically, the high-precision phase offset estimation between the reference node and the slave nodes is first accomplished under the one-way dissemination mechanism by leveraging the correlation property of pulse sequences. On this basis, the estimated clock information is quantized and encoded into pulse signals for transmission using pulse position modulation (PPM) technology, thereby enabling synchronization and communication between any two slave nodes at the physical layer. Simulation results demonstrate that our proposed pulse-based method significantly improves estimation accuracy, achieving the mean square error (MSE) of approximately −45 dB in synchronization precision. Compared to the benchmark schemes, the proposed pulse-based physical layer scheme exhibits notable advantages in system performance: it can reduce the MSE by approximately 16 dB compared to Benchmark Scheme 1 and by approximately 10 dB compared to Benchmark Scheme 2.
期刊介绍:
IET Communications covers the fundamental and generic research for a better understanding of communication technologies to harness the signals for better performing communication systems using various wired and/or wireless media. This Journal is particularly interested in research papers reporting novel solutions to the dominating problems of noise, interference, timing and errors for reduction systems deficiencies such as wasting scarce resources such as spectra, energy and bandwidth.
Topics include, but are not limited to:
Coding and Communication Theory;
Modulation and Signal Design;
Wired, Wireless and Optical Communication;
Communication System
Special Issues. Current Call for Papers:
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