Positioning method in software defined wireless sensor network

Abstract

The invention provides a positioning method in a software defined wireless sensor network. The method comprises the steps of setting a contribution matrix for nodes in a network, wherein a certain element in the matrix is the contribution value of an anchor node in the row which corresponds with the element to a blind node positioning result in the line that corresponds with the element; according to the set matrix, constructing an optimization problem by means of knowability of a controller in the software defined network to global network information, selecting a positioning node from all anchor nodes for the blind node through a 0-1 programming method, wherein a requirement that the sum of powers of selected links is not larger than the total power of the wireless sensor network is satisfied, and maximizing the contribution value of the selected links in the network on condition that the requirement is satisfied; and calculating the position of the blind node by means of a linear least square algorithm by means of the known position information of the selected positioning node. The positioning method can be used for selecting a node which most facilitates positioning on condition that the power of the wireless sensor network is limited and furthermore improves positioning precision.

Description

technical field [0001] The invention relates to the technical field of wireless positioning, in particular to a positioning method in a software-defined wireless sensor network. Background technique [0002] In many wireless communication systems, it has become a practical requirement to be able to know the location information of nodes in the network, especially the Wireless Sensor Networks (WSN), which have been widely used at present. Because in some specific positioning environments, GPS (Global Positioning System) satellite signals are often not received accurately, so it is extremely critical to study how to accurately calculate the positioning method of sensor node positions for the application of the entire network. [0003] Considering the power-constrained characteristics of wireless sensor networks, it is very important to study high-precision positioning methods while meeting the total network power requirements. Due to the lack of knowledge of the entire networ...

AI Technical Summary

Problems solved by technology

Due to the lack of knowledge of the entire network information, most of the effective power allocation and positioning methods currently studied in wireless sensor networks are distributed, which has a certain degree of performance disadvantage compared to the global allocation method.

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