Supercharge Your Innovation With Domain-Expert AI Agents!

Wireless sensor network dynamic data fusion tree method based on compressed sensing

A wireless sensor and compressed sensing technology, applied in network planning, network topology, wireless communication, etc., can solve the problems of high computational complexity and high network energy consumption, achieve low computational complexity, reduce network energy consumption, and reduce network data The effect of transfer volume

Active Publication Date: 2017-07-14
CHONGQING UNIV OF POSTS & TELECOMM
View PDF2 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the object of the present invention is to provide a dynamic data fusion tree method for wireless sensor networks based on compressed sensing, which can solve the problems of high computational complexity of general algorithms and high network energy consumption

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
  • Wireless sensor network dynamic data fusion tree method based on compressed sensing
  • Wireless sensor network dynamic data fusion tree method based on compressed sensing
  • Wireless sensor network dynamic data fusion tree method based on compressed sensing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0036] figure 2 It is a flowchart of the method of the present invention, as shown in the figure, the wireless sensor network dynamic data fusion tree method based on compressed sensing provided by the present invention includes:

[0037] Step 1: Initialization: Set up node set S i ←{}, path tree set T i ←{};

[0038] Step 2: One-dimensionalize the nodes in the network to Node{N(1),N(2),...,N(n)};

[0039] Step 3: Obtain a sparse random projection matrix according to the following formula:

[0040]

[0041] where Φ i,j is the projection coefficient of the i-th row j column, the parameter s determines the sparsity of the projection matrix, and p is the probability; when s=n / (lgn), the reconstruction accuracy of O(klgn) projections is equivalent to the maximum K coefficient algorithm ;

[0042] Vector φ i The node corresponding to...

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 relates to a wireless sensor network dynamic data fusion tree method based on compressed sensing, and belongs to the technical field of wireless sensor networks. The method comprises the following steps of combining compressed sensing with dynamic routing; using a sparse random projection mechanism as a base; dynamically generating a data fusion tree based on minimum cost according to joining and leaving conditions of a node when in projection switching; and transmitting collected data along the data fusion tree by using the sensor node. According to the technical scheme of the method provided by the invention, the sparse random projection mechanism is used, and thus a network data transmission quantity can be effectively reduced; the compressed sensing is combined with a routing protocol, so that network energy consumption can be effectively reduced; and when in projection switching, the data fusion tree is dynamically generated in view of joining and leaving of the node, so that the computation complexity of the method is small. Therefore, according to the method provided by the invention, computation load of the network node is reduced while the network energy consumption is effectively reduced, and thus the problems about short service life of the network and high computation load of the network can be solved.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, and relates to a dynamic data fusion tree method for wireless sensor networks based on compressed sensing. Background technique [0002] Wireless sensor network WSNs is a multi-hop self-organizing network composed of a large number of common nodes and a sink node. It has technical advantages such as self-organization, rapid deployment, high fault tolerance and strong concealment. After decades of development, WSNs have been widely used in scientific research and engineering. However, due to problems such as cost and volume, the energy and computing power of sensor nodes are limited. We can use a low-complexity and effective method to fuse the data that needs to be transmitted by the wireless sensor network, so as to reduce the transmission data, reduce energy consumption, and improve the network life. Compressed sensing is a signal processing theory that has emerged in recent ...

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): H04W16/10H04W84/18
CPCH04W40/02H04W84/18Y02D30/70
Inventor 肖寒春刘晓彤叶建光
Owner CHONGQING UNIV OF POSTS & TELECOMM
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com