  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.
