Communication Combination Technology and Routing Protocol Algorithm Design Based on Artificial Neural Networks

The communication network is developing towards high reliability, high utilization and high quality of service. The existing routing algorithm has been difficult to meet the development requirements, and it is necessary to find a new algorithm. ANN (Artificial neural network) has absorbed many advantages of biological NN. Based on ANN model, this paper discusses the design of communication combination technology and routing protocol algorithm. In this paper, many advantages of CNN (Convective neural network) similar to biological NN are analyzed, and then a new routing protocol algorithm based on CNN is proposed on the basis of describing CNN model and CNN learning algorithm. This paper demonstrates the correctness and rationality of the algorithm in detail, introduces the operational feasibility of the algorithm, and explains the calculation process of the algorithm in detail. Finally, the simulation experiment is carried out by MATLAB. The simulation results show that with the continuous iteration of the algorithm, the error of the algorithm can be stabilized at about 0.51, the operation efficiency of the algorithm is about 0.17, and the accuracy is high. The routing protocol algorithm has excellent performance, which can effectively improve the energy utilization rate of WSN (Wireless sensor network) and prolong the network lifetime.