Network route partition scheduling method based on industrial wireless sensors

Abstract

The invention discloses a network route partition scheduling method based on industrial wireless sensors. The method comprises the steps that (1) a gateway is connected to the Internet in a wired mode and then is connected to a server; (2) a proper number of route nodes are arranged around the gateway, a plurality of wireless sensing devices are arranged on the route nodes with the transmission distance of each router as the radius, and mobile equipment is arranged in the nodes; (3) the mobile equipment chooses a router or a wireless sensing device which is close to the mobile equipment for wireless communication and data transmission; (4) data transmission is carried out among the routers in a wireless mode. The network route partition scheduling method based on the industrial wireless sensors has the advantages that certainty and reliability of finding a new switch path in a dynamic network in industrial wireless control network data communication are achieved, routing energy consumption is reduced, certain and reliable communication scheduling can be provided for an industrial wireless network, and the phenomena of data loss and network congestion can be effectively prevented.

Description

technical field [0001] The invention relates to the field of industrial wireless sensor networks, in particular to a routing partition scheduling method based on industrial wireless sensor networks. Background technique [0002] Realize the "ubiquitous perception" of the entire industrial process with low investment and use costs, obtain important industrial process parameters that cannot be monitored online due to cost reasons, and implement optimal control on this basis to improve product quality and energy saving consumption reduction goals. However, due to the complexity of the industrial site environment, the channel is susceptible to interference. If a single-channel communication mode is used, when the channel is interfered and cannot communicate, the entire network communication will be interrupted, affecting data transmission. In industrial communication, the reliability of data Real-time performance and real-time performance are often difficult to achieve, and suc...

AI Technical Summary

Problems solved by technology

The selected path is not necessarily the path with the smallest delay, and it is not optimal; scheme (2) all network nodes must be configured with graph routing in advance, so the redundancy and randomness are poor; in addition, nodes in the wireless HART network The number of hops between them is limited, and the communication delay between the gateway and any node is relatively large

(3) The structure is too complex, and the efficiency and accuracy need to be improved. In the wireless sensor network with rapid network topology changes, the energy consumption of Zigbee routing is too large, which reduces the communication efficiency of nodes.

(4) and (5) are not suitable for finding new forwarding paths with low power consumption and low latency in dynamic networks. The above schemes are far from satisfying the high-precision, low-cost, high-efficiency realization and a large number of remote mobile terminals that can be used as terminals. Connect the machine devices of the user interface to realize the location collection and transmission of IoT data, efficiently use the energy of sensor nodes, and prolong the survival time of the network

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