Positioning method, device, equipment and storage medium

Abstract

The invention discloses a positioning method, device, equipment and storage medium. The method includes: determining several reference nodes according to the signal strength between the unknown node and the anchor node; Carry out corrections; calculate the position of unknown nodes according to the corrected positions and correction parameters of each anchor node; analyze the simulation error of unknown node positions according to the number of reference nodes, the number of anchor nodes and the communication radius, and obtain the average error of unknown nodes; The average error of the unknown node, correcting the position of the unknown node. Based on the signal strength received by unknown nodes, this method selects several reference nodes to correct the anchor node position and estimates the unknown node position, which can reduce the correction parameter data on the basis of reflecting the influence of different reference nodes on unknown nodes, thereby reducing The calculation amount of positioning is reduced, and the positioning accuracy is greatly improved.

Description

technical field [0001] The invention relates to the field of wireless sensor network positioning, in particular to a positioning method, device, equipment and storage medium. Background technique [0002] The wireless sensor network is composed of a large number of micro sensor nodes deployed in the monitoring area, and is a multi-hop self-organizing network system formed by wireless communication. It senses, collects and processes the information (such as light, sound, heat, electricity, mechanics, chemistry, location, etc.) of the perceived objects in the network crazy love area, and combines with the Internet to form a huge network. Exploration, smart home, industrial control and other fields have broad application prospects. The positioning technology is an important supporting technology of the wireless sensor network. In many cases, the nodes in the wireless sensor network need to know their physical location. If the network cannot provide the corresponding location i...

AI Technical Summary

Problems solved by technology

[0004] However, this RSSI-based weighted centroid algorithm mainly uses the RSSI between the reference node and the position node to calculate the weight of each fixed reference node, and uses the weight to reflect the influence of the fixed reference node on the centroid position The degree reflects its internal connection. Due to the influence of path attenuation factors, the positioning accuracy of this algorithm is low. At the same time, due to the large reference node data, the positioning calculation amount is relatively large.

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