Complex monitoring of drivers safety based on object systems of informative-effective radio networks

Authors

  • Bohdan Shevchuk Author
  • Yuriy Brayko Author

Abstract

The proposed technology for increasing the efficiency of the moni-toring wireless networks of driver safety based on object systems of information-efficient radio networks. For efficient and accurate compact coding and recovery of samples of monitoring signals and video data frames, compression of signals and video signals using a signal approach is proposed. According to this approach, the amplitude-time or numerical parameters of the most informative readings of signals and video signals are determined in the rate of input of monitoring data. These are extrema and inflection points or points of change in the movement of the curve. For crypto-protection of monitoring data arrays by processing means of object and on-board systems of monitoring networks, it is proposed to use one-time ciphers, which are rules and parameters for generating crypto-resistant pseudo-random data arrays of a certain length or volume. These rules and parameters are known only to the transmitting subscriber and the re-ceiving subscriber of information packets and are used by network subscribers in the process of lossy and lossless data compression, in the process of forming crypto-resistant and interference-resistant information packets of limited duration with increased information capacity. Energy-efficient transmission of data packets is based on increasing the information efficiency of facilities and on-board systems for monitoring the safety of drivers. Algorithms of operational adaptive filtering of signals are considered. Due to the minimization of computational operations, algorithms for compact data coding with controlled information loss are optimized for coding speed and accuracy

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Published

2025-05-30

How to Cite

Bohdan Shevchuk, & Yuriy Brayko. (2025). Complex monitoring of drivers safety based on object systems of informative-effective radio networks. Innovation Transport Technologies and Urban Modelling, 1(1). https://academpress.eu/index.php/ITTUM/article/view/5