Analysis of network overhead and delay of rule engine based on MQTT protocol

Before the emergence of the Internet of Things (IoT) technology, the network physics system (CPS) used conventional Internet protocols (SOAP) to communicate with each other. However, these protocols have some shortcomings or deficiencies inherently: large space, high CPU usage, high memory and energy consumption. With the development of the Internet of Things technology, a lightweight protocol such as the MQTT protocol has appeared to respond to the challenges in the current environment with small occupation space and expenses. Under the Internet of Things, high reliability and low -delayed industrial automation, vehicle networks, smart grids, etc., can reduce the time required to reduce the movement as much as possible through the rules engine of the Internet of Things platform. Under the IoT platform rules engine, different devices use different service levels (Qos) to communicate with the MQTT protocol, which consumes different time. This article uses Huawei Cloud as a platform to realize the expenses and delay of the MQTT protocol under different service levels under the IoT rule engine engine to help system personnel make decisions to plan various types of equipment to choose applicable service level communication.