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

A Compressed Data Collection Method Based on Virtual MIMO

A technology of compressing data and data aggregation, applied in the field of wireless transmission, can solve the problems of high packet loss rate, error-prone, high energy cost, etc., and achieve the effect of improving network life cycle, low energy consumption, and efficient compressed data collection

Active Publication Date: 2019-04-02
ANHUI UNIVERSITY
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The present invention aims to solve the problems of excessive transmission energy cost and high error-prone transmission rate in the existing wireless sensor network data collection process, and provides a compressed data collection method based on virtual MIMO, in order to reduce the data collection process The transmission energy consumption and packet loss rate in the medium can improve the data collection efficiency of the wireless sensor network and prolong the life cycle of the network

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
  • A Compressed Data Collection Method Based on Virtual MIMO
  • A Compressed Data Collection Method Based on Virtual MIMO
  • A Compressed Data Collection Method Based on Virtual MIMO

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] In this embodiment, a compressed data collection method based on virtual MIMO (Multiple Input Multiple Output) is applied in a wireless sensor network composed of N sensor nodes and a data convergence terminal SINK; Energy consumption model and multi-parameter joint optimization to obtain various optimized parameters (β, ρ, n c , M t , b) and the compressed measurement matrix Φ; N sensor nodes are used to obtain the monitoring data and obtain the compressed data after the compressed measurement of the compressed measurement matrix; the compressed data is formed by other sensor nodes according to the optimization parameters collected by the data compression The virtual MIMO array is sent to the data converging terminal SINK in modulation mode; the data converging terminal SINK receives the compressed data, reconstructs the compressed data to restore the monitoring data of N sensor nodes and sends them to the remote network; refer to figure 2 The system structure of the...

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 discloses a compressed data collection method based on virtual MIMO. The compressed data collection method based on virtual MIMO integrates compressed sensing with the MIMO transmission technology, and can perform joint optimization of clustering number of network, the sparse rate and the compression ratio of a compression measurement matrix, the node number taking part in cooperative transmission, and the size of the constellation graph modulated during the remote transmission process, so as to realize collection of compressed data with low energy consumption. The compressed data collection method based on virtual MIMO can reduce the transmission energy consumption and the packet loss ratio during the data collection process so as to improve the data collection efficiency for a wireless sensor network and prolong the life cycle of the network.

Description

technical field [0001] The invention belongs to the technical field of wireless transmission, in particular to a virtual MIMO-based energy efficient compression data collection method applied in a wireless sensor network. Background technique [0002] It is well known that sensor nodes in wireless sensor networks generally use small embedded devices, and the battery power carried by a single node is limited. The application of wireless sensor networks is usually oriented to some large-scale monitoring fields, and a large amount of monitoring data needs to be collected. Therefore, how to reduce the energy consumption of nodes and realize the effective collection of wireless sensor network data is a key problem that needs to be solved urgently. [0003] Compressed sensing technology just provides a new method of data acquisition. Through simple compression projection on sparse signals, the dimensionality of signals can be greatly reduced, that is, data can be greatly compresse...

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 Patents(China)
IPC IPC(8): H04W52/02H04W84/18
CPCH04W52/0203H04W84/18Y02D30/70
Inventor 蒋芳胡艳军
Owner ANHUI UNIVERSITY
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