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

Wireless sensor network fault diagnosis method based on improved negative selection algorithm

A wireless sensor and network fault technology, applied in network topology, wireless communication, data exchange network, etc., can solve problems such as prone to faults, achieve the effects of improving accuracy, saving time, and facilitating rapid detection

Pending Publication Date: 2021-06-18
HARBIN UNIV OF SCI & TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Sensor nodes are prone to failure when deployed in unattended and harsh environments

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 fault diagnosis method based on improved negative selection algorithm
  • Wireless sensor network fault diagnosis method based on improved negative selection algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In order to make the object, technical solution and advantages of the present invention clearer, the present invention is described below through specific embodiments shown in the accompanying drawings. It should be understood, however, that these descriptions are exemplary only and are not intended to limit the scope of the present invention. The structures, proportions, sizes, etc. shown in the drawings of this specification are only used to cooperate with the content disclosed in the specification, for those who are familiar with this technology to understand and read, and are not used to limit the conditions for the implementation of the present invention. Therefore, Without technical substantive significance, any modification of structure, change of proportional relationship or adjustment of size shall still fall within the technology disclosed in the present invention without affecting the effect and purpose of the present invention. within the scope of the conten...

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 wireless sensor network fault diagnosis method based on an improved negative selection algorithm, and relates to the technical field of wireless sensors. The method comprises the following steps: step 1, analyzing and researching an NSA principle to find an improvement point of an algorithm; 2, researching a WSN fault node detection method; 3, researching a WSN fault classification method; 4, performing verification and comparative research on the algorithm by using simulation software. According to the method, the fault detection accuracy is improved, and the time and energy consumed in the detection process are reduced, time can be saved, and rapid detection is facilitated.

Description

technical field [0001] The invention belongs to the technical field, and in particular relates to a wireless sensor network fault diagnosis method based on an improved negative selection algorithm. Background technique [0002] A wireless sensor network is a collection of tiny and inexpensive sensor nodes with low battery power and memory. Each node has the ability to perceive data, process and send data to other nodes or base stations, and the nodes are connected through wireless media. The characteristics of sensor nodes make them useful in various applications such as healthcare monitoring, forest fire monitoring, military applications, environmental monitoring, etc. When sensor nodes are deployed in unattended and harsh environments, they are prone to failures. In WSN, faults can be divided into two categories according to their behavior, namely hard faults and soft faults. Hard faults are called permanent faults, which manifest as the inability of sensor nodes to tra...

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): H04W24/08H04W24/06H04W84/18H04L12/24G06K9/62
CPCH04W24/08H04W24/06H04W84/18H04L41/0631G06F18/2411
Inventor 张鹏李志
Owner HARBIN UNIV OF SCI & TECH
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