Design of automotive anti-theft system based on IoT and multisensor fusion

With the increase in the number of motor vehicles, the number of stolen cars has also been increasing year by year, and vehicle networking anti-theft has become one of the hot topics and research topics. This article analyzes the behavioral characteristics of stolen vehicles based on several common situations of car theft, and then proposes the overall requirements for anti-theft systems. A car intelligent anti-theft system combining multiple sensors and the Internet of Things is proposed by comparing and designing the performance of several key technical solutions according to the requirements. Secondly, the hardware system design was carried out using modular design principles, including sensor acquisition and transmission node design and vehicle controller design. On this basis, we designed a frame timeslot ALOHA algorithm based on time grouping to optimize information collection and improve system efficiency. After simulation testing, this solution can provide new ideas and technical paths for automotive anti-theft design.