Quality of service optimization in wireless transmission of industrial Internet of Things for intelligent manufacturing

Abstract

Based on the requirements of industrial Internet of Things in intelligent manufacturing environment, the layered architecture, cross-layer optimization protocol, and key technologies of universal converter for heterogeneous networks of industrial Internet of Things are analyzed. A new architecture of two-layer distributed hybrid industrial Internet of Things is proposed, which combines the advantages of star network and mesh network. In the orthogonal frequency division multiple access (OFDMA)–based relay system, in order to satisfy the quality of service (QoS) requirement and ensure the maximum throughput of the system while ensuring user fairness, a resource allocation algorithm oriented to quality of service (QoS) is proposed. Firstly, according to the waiting delay of the user in the queue and the requirement of the user for the rate, the delay priority factor and the rate priority factor are introduced to calculate the priority of the user, and then, the dynamic resource scheduling and allocation are carried out on the backhaul link and the access link respectively. The simulation results show that the new algorithm has low packet loss rate, better meets GBR requirements, and can achieve high system throughput and fairness.