Method for recognizing distributed amalgamation of wireless sensor network

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 ...

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

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