A wsn node localization method for suppressing outliers based on rssi

Abstract

The invention discloses an RSSI-based WSN node positioning method for suppressing abnormal values, belonging to the technical field of wireless communication. The present invention uses condition number to improve the least squares method to suppress the outlier based WSN node positioning method based on RSSI. First, the RSSI is used to obtain the distance between the unknown node and its neighbor anchor node; then the estimated vector and its normal matrix are expressed by the least squares method; then according to The condition number of the normal matrix can be used to judge whether the estimated vector will have outliers; if not, the estimated vector can be directly calculated; if so, the condition number of the normal matrix of the estimated vector can be reduced by increasing or decreasing the position information of the neighbor anchor nodes to suppress Outliers appear. Therefore, aiming at the defect of unstable performance when the traditional least square method is used for calculation, the present invention has the characteristics of high positioning accuracy and stable positioning performance.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to an RSSI-based WSN node positioning method using a condition number improved least square method to suppress abnormal values. Background technique [0002] Wireless Sensor Networks (WSN for short) consists of a large number of low-cost and low-power sensor nodes deployed in or near the monitoring area. These nodes have sensing capabilities, computing capabilities, and communication capabilities. Each node cooperates through an ad hoc network. Work. [0003] In wireless sensor networks, it is crucial to determine the location of events or the location of data collection, otherwise the acquired information is meaningless. Sensor nodes can be divided into two categories: anchor nodes (nodes with known location information) and unknown nodes (nodes with unknown location information). The number of anchor nodes in the wireless sensor network is much smaller...

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Problems solved by technology

[0007] The solution of the present invention is aimed at the defect of low accuracy when performing calculations with the traditional least squares method, first using RSSI to obtain the distance between the unknown node and its neighbor anchor nodes; then expressing the estimated vector and its normal matrix by the least squares method; Then, according to the condition number of the normal matrix, it is judged whether there will be outliers in the estimated vector; if not, the estimated vector can be directly calculated; if so, the condition number of the normal matrix of the estimated vector can be reduced by increasing or decreasing the position information of the neighbor anchor nodes

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