Distributed Message Processing System Based for Internet of Things

With the landing of 5g, the amount of data generated in the Internet of things environment has increased dramatically. The main problems faced by the IoT are numerous access nodes, large data volume, complex connecion management, and strong data sharing requirements. In response to these problems, we propose a distributed message processing system for collecting and processing data in the IoT environment. We analyze the data transmission characteristics and requirements of different applications in the Internet of Things in detail, and proposes a new message-oriented data processing model. With this model, data processing becomes more convenient and efficient. The overall structure of the data. processing model is divided into two parts, a data collection module and a data aggregation module. The data collection module is composed of a communication interface, a registration interface and a data storage interface. The data aggregation module is composed of a data summary interface and a context interface. Two major data modules work together to process the entire process of data scenes to be used. The model can be used in mines, smart homes, it will improve the reliability of data transmission Greatly.