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WSN node positioning method based on combination of PSO and UKF

A node positioning and sensor node technology, applied in electrical components, wireless communication, network topology, etc., can solve problems such as filtering divergence and reducing approximation accuracy

Inactive Publication Date: 2014-09-03
ZHEJIANG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For nonlinear systems, the most commonly used filtering technique is the Extended Kalman Filter (EKF), but the Extended Kalman Filter (EKF) and its derived algorithms must calculate the Jacbian matrix, and when using the Taylor expansion to approximate the nonlinear function , the high-order terms above the second order in the Taylor expansion are often ignored, thus reducing the approximation accuracy and even causing filter divergence

Method used

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  • WSN node positioning method based on combination of PSO and UKF
  • WSN node positioning method based on combination of PSO and UKF
  • WSN node positioning method based on combination of PSO and UKF

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Embodiment Construction

[0031] Referring to the attached picture:

[0032] The WSN node positioning method based on MLE and UKF combination of the present invention, its working steps are:

[0033] 1. Determine the parameters in the wireless signal path loss model according to the environment where the sensor node is located, and fit the relationship curve between the wireless signal energy attenuation process and the distance;

[0034] 2. Establish a joint probability density function model of error noise based on the relationship between multiple independent actual distances and measured distances, and use the particle swarm optimization algorithm to obtain the optimal coordinate value;

[0035] Joint probability density function:

[0036] F ( Z | ( x , y ) ) = Π i = ...

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Abstract

The invention relates to a WSN node positioning method based on combination of PSO and UKF. The PSO is utilized to carry out preliminary positioning, and the acquired coordinate figure is taken as an initial value of the UKF; a state equation and a measurement equation of the positioning system are established, an RSSI value is taken as observed quantity, a coordinate estimate of an unknown node is acquired, and multitime iteration is carried out; a mass center algorithm principle is utilized, and a polygon mass center coordinate is taken as the final estimate coordinate of the unknown node. Compared with a traditional positioning algorithm, the WSN node positioning method has advantages of higher positioning precision, stronger reliability and relatively strong practical value.

Description

technical field [0001] The invention relates to a node positioning method used in the field of wireless sensor networks, in particular to a WSN node positioning method based on the combination of PSO and UKF. Background technique [0002] Wireless sensor networks first originated in the 1970s. In recent years, along with the development of micro-electromechanical systems, wireless communication technology and embedded microprocessor technology, the rapid development and wide application of wireless sensor network technology have been promoted. The sensor nodes in the network can monitor and collect information by themselves, self-organize the network, and send the collected information to the destination node, and can be deployed in places where some people cannot stay for a long time or are difficult to reach. Therefore, wireless sensor networks have been widely used in national defense and military, social security, environmental monitoring, medical care and smart home and...

Claims

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Application Information

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IPC IPC(8): H04W64/00H04W84/18
Inventor 欧县华何熊熊卢昱
Owner ZHEJIANG UNIV OF TECH
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