Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Distance-corrected chaotic particle swarm multi-dimensional scaling wireless sensor network positioning method

A chaotic particle swarm and wireless sensor technology, applied in the field of multi-hop network, can solve the problems of large difference between estimated distance and actual Euclidean distance, poor positioning accuracy, etc., achieve good robustness and promotion ability, low positioning cost, Effect of improving node positioning accuracy

Active Publication Date: 2017-12-01
XIDIAN UNIV
View PDF4 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the current irregular network and network holes cause a large difference between the estimated distance and the actual Euclidean distance, resulting in poor positioning accuracy

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
  • Distance-corrected chaotic particle swarm multi-dimensional scaling wireless sensor network positioning method
  • Distance-corrected chaotic particle swarm multi-dimensional scaling wireless sensor network positioning method
  • Distance-corrected chaotic particle swarm multi-dimensional scaling wireless sensor network positioning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0036] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0037] Such as figure 1 As shown, the distance correction chaotic particle swarm multi-dimensional scaling wireless sensor network positioning method provided by the embodiment of the present invention includes the following steps:

[0038] S101: Calculate the distance between nodes through a recursive strategy, and use the received signal strength to weight the distance, so as to reduce the distance error between the estimated distance and the actual distance, and avoid the problem o...

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 belongs to the technical field of multi-hop networks, and discloses a distance-corrected chaotic particle swarm multi-dimensional scaling wireless sensor network positioning method. During a diversity matrix building stage, all node pairs adopt recursive measurement and RSSI to perform weighted correction on distance, rather than utilization of 1 to replace the distance between the node pairs when the distance between the nodes cannot be measured, a node hole problem is avoided, and a distance estimation error is reduced. During a coordinate conversion stage, a chaotic particle swarm optimization algorithm is used for optimizing a conversion parameter, the problems of local optimal solution of the particle swarm and misconvergence are avoided, influence caused by the parameter is reduced, and node positioning accuracy is effectively improved. A simulation result shows that the distance-corrected chaotic particle swarm algorithm can significantly improve node positioning accuracy, and has better robustness and adaptation to irregular networks.

Description

technical field [0001] The invention belongs to the technical field of multi-hop networks, and in particular relates to a positioning method for distance-modified chaotic particle swarm multi-dimensional scale wireless sensor networks. Background technique [0002] Wireless sensor network is a multi-hop network formed by a large number of cheap micro-sensor nodes through wireless self-organization. In recent years, it has been widely used in agriculture, industry, military and other fields. No matter in any field, an unavoidable problem is node position estimation, and data that does not include node position estimation is meaningless. At present, the node positioning technology can be roughly divided into two types based on ranging and non-ranging. Ranging positioning technology mainly includes time of arrival positioning technology (TOA), time difference of arrival technology (TDOA), received signal strength technology (RSSI) and angle of arrival technology (AOA); non-ran...

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): H04W64/00G01S11/06
CPCG01S11/06H04W64/006
Inventor 齐小刚刘兴成刘立芳杨海霞王静
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap 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