Weighted DV _ Hop node positioning method based on minimum mean square error criterion

Abstract

The invention provides a weighted DV _ Hop node positioning method based on a minimum mean square error criterion, and the method comprises the steps: setting other anchor nodes to have the same weight under the minimum mean square error criterion, and obtaining a preliminary estimation value of the average distance of each hop of the anchor nodes; setting weights for other anchor nodes for the second time, and obtaining the corrected average hop-by-hop distance of the anchor nodes under the minimum mean square error criterion; calculating the connectivity of each adjacent anchor node and theaverage distance error of each hop; calculating the average hop distance of the unknown node and the estimated distance from the unknown node to the anchor node according to the average hop distance of the adjacent anchor nodes and the normalized weight value; and setting a linear solution of a weighted least square method as an iterative initial value, minimizing a weighted distance estimation error objective function through a nonlinear weighted iterative method, and taking an iterative result as a positioning coordinate of an unknown node. According to the method, the more accurate averagehop distance between the anchor node and the unknown node can be obtained, the calculated amount is small, and the positioning accuracy and stability are improved.

Description

technical field [0001] The invention relates to the technical field of wireless sensor networks, in particular to a weighted DV_Hop node positioning method based on the minimum mean square error criterion. Background technique [0002] Wireless sensor network is a wireless multi-hop communication network system, which consists of a large number of battery-powered sensor nodes with limited functions, and has the characteristics of low cost, self-organization, and dynamic topology. During the implementation of wireless sensor networks, sensor nodes are usually randomly deployed, especially for large-scale networks, so node location is an important part of network design. In most applications, the location information of nodes is indispensable, otherwise the data collected by sensors is meaningless. Therefore, node location technology is one of the key supporting technologies of wireless sensor networks. [0003] Node location refers to the process of knowing the position inf...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the technical problem of poor positioning accuracy of existing non-ranging DV_Hop node positioning methods, the present invention proposes a weighted DV_Hop node positioning method based on the minimum mean square error criterion to further improve the positioning accuracy of nodes

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