Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Distributed sensor cooperation selecting method

A distributed sensor and sensor technology, applied in the field of measurement and control, can solve problems such as low accuracy, poor effect, and comprehensive consideration of sensor networks.

Inactive Publication Date: 2016-08-24
STATE GRID CORP OF CHINA +2
View PDF2 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the existing methods only focus on a certain part of the sensor network, and they do not comprehensively consider the sensor network, which leads to the low precision of the existing methods and the poor effect of specific implementation.

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
  • Distributed sensor cooperation selecting method
  • Distributed sensor cooperation selecting method
  • Distributed sensor cooperation selecting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] Such as figure 1 Shown is the flow chart of the method of the present invention: the distributed sensor collaborative selection method provided by the present invention includes the following steps:

[0044] S1. Randomly deploy a large number of cheap sensor nodes in the monitoring area, and group them according to the fusion radius of the monitoring points;

[0045] The fusion radius can be taken as twice the communication radius of the sensor node;

[0046] S2. Calculate the distance between the sensor node and the target after normalization;

[0047] Calculate the normalized distance between the sensor node and the target using the following formula:

[0048] dS(s i )=p(x|d i ,SNR i )×p(d i ,SNR i )

[0049] Among them, p(x|d i ,SNR i ) is the conditional probability that can be obtained from empirical data, p(d i ,SNR i ) is the target at radius d i The probability of occurrence of the area range, its value is estimated experimentally based on empirical...

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 invention provides a distributed sensor cooperation selecting method which including arranging and grouping sensors, calculating the distance between sensor nodes and a target after normalization, calculating the correlation among sensors, calculating the effectiveness of sensor nodes, establishing sensor clusters, calculating the sensing capability, and comparing the relation between the sensing capability of the current sensor clusters and the monitoring precision requirement of the target to complete sensor cooperation selection. Distance and correlation are comprehensively used to calculate the sensing capability of sensor node clusters, the sensor correlation is obtained through a machine learning method and historical data calculation, and the sensor cooperation selection is completed according to monitoring requirement and the sensing capability of the sensor clusters. The sensing capability of sensor clusters can be actually reflected, the optimal sensor cluster cooperation can be selected to meet the monitoring precision requirement of a user, and the network energy equalization can be ensured.

Description

technical field [0001] The invention belongs to the field of measurement and control, and in particular relates to a distributed sensor collaborative selection method. Background technique [0002] With the development of social economy and technology, sensor network has gradually penetrated into people's daily life. Many applications based on sensor networks, such as target detection and recognition, target tracking, etc., have high requirements for target perception accuracy, and require to extend the life cycle of sensor networks as much as possible while ensuring the accuracy requirements. For example, in the application of intelligent transportation, there are high requirements for vehicle detection accuracy and network energy consumption. Therefore, it becomes necessary to maximize the network life cycle while satisfying the user's demand for target perception accuracy. [0003] In order to meet the user's demand for perception accuracy and maximize the network life ...

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
IPC IPC(8): H04W24/02H04W52/02H04W84/18
CPCH04W24/02H04W52/0209H04W84/18Y02D30/70
Inventor 肖克江王睿魏鹏飞张迎平张灿冯晓文余琦
Owner STATE GRID CORP OF CHINA
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
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com