Development of Communication System between TPMS and Server using Combination of OFDM and Convolutional Code Technique Based on SDR

Authors

  • Hendy Briantoro Department of Computer Engineering, School of Electrical Engineering, Institut Teknologi Telkom Surabaya
  • Billy Montolalu Department of Software Engineering, School of Informatics, Institut Teknologi Telkom Surabaya
  • Ardiansyah Al Farouq Department of Computer Engineering, School of Electrical Engineering, Institut Teknologi Telkom Surabaya

DOI:

https://doi.org/10.32736/sisfokom.v13i2.2024

Keywords:

tire pressure, monitoring system, software defined radio, OFDM

Abstract

The Tire Pressure Monitoring System (TPMS) has evolved into an essential element of contemporary vehicles, playing a pivotal role in enhancing road safety and the overall driving experience. Traditionally, TPMS systems rely on dedicated hardware components for the collection and transmission of tire pressure data to the vehicle's onboard computer and the data is visible only to the driver. In this research, we have developed a wireless communication system between TPMS and a server, enabling tire pressure data to be accessible not only to the driver but also remotely traceable by others. To build a reliable communication system, we utilized a combination of Orthogonal Frequency Division Multiplexing (OFDM) and Convolutional Code technologies. This system is implemented using Software-Defined Radio (SDR) technology. This communication method employs OFDM to enhance data throughput and integrates Convolutional Code to mitigate errors in received data. Consequently, this approach achieves a maximum throughput of 119.19MBps when utilizing the OFDM system alongside 16QAM modulation. The bit error rate for received data without coding stands at 5.77%, but the application of Convolutional Code with a 1/2 code rate effectively reduces this error rate to 3.85%. This system improves the reliability of TPMS communication with the server while also ensuring a consistently high throughput. It enhances road safety and remote monitoring capabilities.  

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Published

2024-06-10

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