Real-time scheduling method suitable for industrial sensor network

Abstract

The invention provides a real time scheduling method, relating to the industrial wireless sensor network real time communication control field. The method is characterized in that a superframe structure is established on a network central node; the superframe structure divides the work of a control layer of the sensor network into a plurality of access control periods, and issues the superframe structure in the network; common nodes with priority traffic apply to the central node for reservation bandwidth; the network central node conducts scheduling process according to the applied traffic priority to establish the reservation bandwidth part in the superframe structure and informs the common nodes of the corresponding reservation bandwidth information in the superframe structure; after the common nodes receive the requesting response information, the common nodes establish respective starting and ending time of the reservation bandwidth in the way of a timer; and controlled by the timer, the common nodes and the network central node go into the working mode of one to one to communicate. With the invention adopted, a real time scheduling method with priority can be provided for the control layer of the industrial sensor network, so real time application of the security class, the control class and the monitoring class in the industrial environment can be met and interactive delay of the real time data can be reduced.

Description

technical field [0001] The invention relates to the fields of electronics, sensor networks and industrial applications, and in particular to a real-time scheduling strategy in the field of industrial applications. Background technique [0002] With the development of industrial monitoring technology, the characteristics of wireless sensor networks such as low cost, ease of use and ubiquitous perception are increasingly occupying an important position in the industry. The combination of industry and sensor networks is getting closer and closer. Using sensor networks, people can realize comprehensive monitoring of the entire industrial process at low investment and use costs, obtain important industrial process parameters that cannot be monitored online due to cost reasons, and Based on this, optimal control is implemented to achieve the goals of improving product quality, reducing leakage and leakage in the industrial production process, and improving energy efficiency. [0...

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