Design and optimization of natural routing system based on mobile internet of things

With the rapid development and widespread application of mobile Internet of Things technology, people have put forward higher demands for its efficient and reliable communication network. Taking into account node energy consumption and network load conditions, the routing of each node can be dynamically adjusted to achieve load balancing and energy-saving optimization of the system. Genetic algorithm and cross validation strategy are used in routing design to improve search efficiency and convergence rate. Under various network load conditions, the throughput performance of the system can be evaluated. When the network load is 10Mbps, the throughput is 8.5Mbps, the packet loss rate is 0.5%, and the delay is 25ms; When the network load is 20Mbps, the throughput is 16.8Mbps, the packet loss rate is 0.8%, and the delay is 30ms. The development of this article is of great theoretical and practical significance for promoting innovation and development of communication network technology in China, as well as building an intelligent and sustainable society.