Method for recognizing distributed amalgamation of wireless sensor network

A wireless sensor, fusion recognition technology, applied in wireless communication, data exchange network, transmission monitoring and other directions, can solve problems such as seldom comprehensive consideration

Inactive Publication Date: 2008-10-08
JIAXING WIRELESS SENSOR NETWORKS CENT CAS
View PDF0 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The rich target recognition in the current wireless sensor network is mostly derived from the fusion algorithm based on integrated computing. Bayes method, cluster analysis, nearest neighbor method, DS evidence reasoning, fuzzy reasoning, rough set theory, neural network, etc. have been proposed. methods, but rarely fully consider the above characteristics of object recognition in wireless sensor networks

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for recognizing distributed amalgamation of wireless sensor network
  • Method for recognizing distributed amalgamation of wireless sensor network
  • Method for recognizing distributed amalgamation of wireless sensor network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037]The following is an example of the present invention applied to target recognition in ground battlefield reconnaissance network.

[0038] The main targets in the ground battlefield reconnaissance network include people, wheeled vehicles, and tracked vehicles. The sensor nodes are equipped with two types of sensors: sound and vibration. When the target enters the reconnaissance range, the network performs target detection, identification, and tracking. Due to the complexity of the battlefield environment, the dynamic change characteristics of the target form, the dynamic change characteristics of the network topology, etc., the perceived information is often uncertain. It is an effective method to conduct distributed fusion recognition through intelligent fusion judgment by evaluating sensor reliability, result uncertainty and consistency for credibility analysis.

[0039] Specific steps are as follows:

[0040] 1. Sensor reliability analysis

[0041] When the sensor no...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention provides a distributed fusion recognizing method of wireless sensor network. Firstly each node of the wireless sensor network is established with a respective elementary probability distribution model, a sensor reliability analysis model, an uncertainty analysis model and a consistency analysis model. Then these node enabled by the target is executed with estimation to the elementary probability distribution function and sensor reliability analysis. Each node is executed with a time fusion in order to realize result synchronization. A modality fusion should be executed to the node which is equipped with a plurality of types of sensors. Then through analyzing the uncertainty to the recognizing result, the on-line self-adopting selection is executed. When the fusion center receives the element probability distribution and sensor reliability parameter transmitted by the selected node, the consistency analysis is executed. The information fusion is executed combining the reliability of sensor, and the uncertainty and consistency of result, and in this way the distributed fusion recognizing is realized.

Description

Technical field: [0001] The invention relates to an information processing method of a wireless sensor network, in particular to a distributed fusion identification method of a wireless sensor network. Background technique: [0002] Due to its broad application prospects in military defense, industry and agriculture, urban management, biomedicine, environmental monitoring, emergency rescue and disaster relief, and anti-terrorism and anti-terrorism, wireless sensor networks have attracted great attention from the world's academic and industrial circles and triggered wireless sensor networks. Internet research boom. A wireless sensor network is a network composed of large-scale randomly arranged wireless sensor nodes or cluster points for the purpose of sensing the real physical space. However, due to the uncertainty and dynamic characteristics of physical space signals and their states, how to coordinate multiple sensor nodes and obtain correct relevant information from the ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/26H04L29/08H04L12/28H04B17/00H04W24/06
Inventor 曹红兵刘海涛魏建明潘强梁志强
Owner JIAXING WIRELESS SENSOR NETWORKS CENT CAS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products