Resource leveling multi-path routing method applicable to industrial wireless sensor network

Abstract

The invention provides a multi-path routing method based on a resource leveling strategy and applicable to an industrial wireless sensor network, and relates to the industrial wireless sensor network. According to the routing method, the concept of cross-layer design is adopted, comprehensive evaluation is carried out on data receiving and transmitting energy loss of a physical layer and forward queue memory loss of a network layer, and a route priority judgment strategy based on resource leveling factors is disclosed. Meanwhile, with the combination of a breadth-first search algorithm, multiple redundant routes between a data source node and destination nodes are calculated, the requirement for leveling node resources of the industrial wireless sensor network is met, and reliability of communication between the source node and the destination nodes is also improved. An ISA100.11a network is taken as an example, when a system manager in the ISA100.11a network carries out routing path calculation, a preferential path and multiple alternative paths are calculated on the basis of the topology of the current network and resource consumption situations of the sensor nodes, and routing information is distributed and stored in the nodes of the paths, and routing configuration is finished. As is proved, the method is feasible and can reach predicted effects.

Description

technical field [0001] The invention relates to the technical field of industrial wireless sensor networks, in particular to a routing method based on industrial wireless sensor networks. Background technique [0002] Wireless sensor networks are bringing far-reaching impacts to various fields of human life and production, and have broad application prospects in the fields of national defense, military, industrial control, medical and health, environmental monitoring, urban transportation, and space exploration. In recent years, wireless sensors have become more and more closely connected with intelligent industry. The industrial wireless sensor network fully integrates modern technologies such as sensors and computer networks. With the advantages of low cost, low investment and high applicability, it realizes the "ubiquitous perception" of industrial production processes and obtains traditional production lines in a more convenient and efficient way. Important process para...

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Problems solved by technology

In addition, some scholars have proposed a routing algorithm based on the shortest delay. However, this method needs to calculate the delay based on known scheduling information. When nodes are added, deleted, or moved in the sensor network, the scheduling information is often due to routing changes and change, then it is impossible to use the known scheduling information for routing calculation

[0005] To sum up, the existing industrial wireless sensor network routing methods are not well applicable to the actual industrial wireless network, and need to be improved in maintaining the balance of memory and energy consumption

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