Design and Implementation of Energy-Efficient Wireless Tire Sensing System with Delay Analysis for Intelligent Vehicles

TL;DR

This paper presents an energy-efficient wireless tire sensing system for intelligent vehicles that reduces power consumption and guarantees real-time data transmission through delay analysis and collision management.

Contribution

It introduces a novel energy-saving wireless tire sensing system with delay analysis, validated by simulations and field trials, improving safety and efficiency in intelligent vehicles.

Findings

Significantly reduces power consumption in tire sensing systems

Ensures real-time data retrieval with bounded transmission delay

Validated through simulations and field experiments

Abstract

The growing prevalence of Internet of Things (IoT) technologies has led to a rise in the popularity of intelligent vehicles that incorporate a range of sensors to monitor various aspects, such as driving speed, fuel usage, distance proximity and tire anomalies. Nowadays, real-time tire sensing systems play important roles for intelligent vehicles in increasing mileage, reducing fuel consumption, improving driving safety, and reducing the potential for traffic accidents. However, the current tire sensing system drains a significant vehicle' energy and lacks effective collection of sensing data, which may not guarantee the immediacy of driving safety. Thus, this paper designs an energy-efficient wireless tire sensing system (WTSS), which leverages energy-saving techniques to significantly reduce power consumption while ensuring data retrieval delays during real-time monitoring. Additionally, we mathematically analyze the worst-case transmission delay of the system to ensure the immediacy based on the collision probabilities of sensor transmissions. This system has been implemented and verified by the simulation and field trial experiments. These results show that the proposed scheme provides enhanced performance in energy efficiency and accurately identifies the worst transmission delay.