Research on Multi-path and Multi-QoS Routing

Aiming at the heterogeneity, complexity and uncertainty of communication networks in industrial environment, a genetic variation neighborhood search algorithm (NSGA II-VNS) is proposed. The algorithm generates a set of optimal solutions as a multipath routing scheme to meet the redundant routing requirements of industrial networks. Due to the weak computing power of the node and the small storage space, the VNS method is integrated, and the pre-processing operation is performed in the generation stage. The strong function node stores the network information, and improves the algorithm's rapidity and the initial population diversity. The experimental results show that NSGA II-VNS can ensure the reasonable allocation of network resources, and effectively improve the reliability of the system.