Synchronous Signal Transmission System of Wireless Sensor Network Array in Big Data Environment

Authors

  • Jie Zhang Department of Electrical and Electronic Engineering, Chengde Petroleum College, Chengde 067000, China
  • Jinwen Li Department of Electrical and Electronic Engineering, Chengde Petroleum College, Chengde 067000, China

Abstract

In order to improve the synchronous transmission capability of wireless sensor network array signals, a synchronous transmission method based on a large data environment, together with an adaptive parameter adjustment, is proposed. In this paper, we build a receiving model for wireless sensor network array signals, filter the wireless sensor network array signal by adopting a gain amplification and output steady-state adjustment method, perform gain amplification and characteristic separation of the wireless sensor network array signal by adopting a high-resolution signal fusion filtering detection technology, extract spectral characteristic quantities of the wireless sensor network array signal, and perform output integration of the wireless sensor network array signals by applying an autocorrelation beam forming method. The synchronous transmission control of wireless sensor network array signals is achieved, gain adjustable amplification processing is carried out according to the synchronous transmission control output result of wireless sensor network array signals, gain adjustable amplifiers are constructed, and the optimization of synchronous transmission of wireless sensor network array signals is achieved. The simulation results show that this method improves the output accuracy, characteristic resolution and synchronous transmission of signal-to-noise ratio of wireless sensor network array signal.

Keywords: big data environment, wireless sensor network, array signal, synchronous transmission

Cite As

J. Zhang, J. Li, "Synchronous Signal Transmission System of Wireless Sensor Network
Array in Big Data Environment", Engineering Intelligent Systems, vol. 30 no. 1, pp. 65-76,
2022.





Published

2022-01-01