Design and implementation of fuzzy-based natural routing system for mobile Internet of Things

Mobile Internet of Things is an Internet application based on satellite positioning technology, wireless sensor networks and communication networks. With the popularity of mobile terminal devices, people's demand for mobile Internet of Things is also growing. In response to this trend, this article proposes an optimization design method based on fuzzy algorithm, which can be used for natural node evaluation and route selection, thereby realizing data interactive processing functions in the two processes of intelligent path identification and real-time dynamic route query. Moreover, this article designs a natural router system for the mobile Internet of Things, and conducts relevant test simulations on the basic performance of the system. The test results are as follows: the average delay of the system is between 137ms-175ms, and the response time is between 121ms-185ms; the overall throughput is between 2314k-3235k; the overall network coverage is basically above 90%.