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

Wireless sensor network data transmission method based on double-layer fuzzy algorithm

A network data transmission and wireless sensor technology, applied in digital transmission systems, services based on specific environments, transmission systems, etc., can solve the problem of uneven distribution of cluster head nodes, sub-optimal clustering results, high consumption of cluster head nodes, etc. problem, to achieve the effect of reducing overhead, reducing energy consumption, and balancing energy consumption

Inactive Publication Date: 2018-11-27
OCEAN UNIV OF CHINA
View PDF5 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] (1) Since the cluster head nodes are randomly selected, there will be a problem of uneven distribution of cluster head nodes. In areas with fewer nodes, multiple cluster head nodes will be selected, and in areas where nodes are densely distributed, there may be one cluster head nor
In this case, the clustering result is not optimal, and the energy-saving effect cannot be achieved for the entire wireless sensor network, but more energy will be consumed
[0009] (2) The transmission system between the cluster head node of the wireless sensor and the base station generally adopts a single-hop mode. If the network scale is large, some cluster head nodes will be far away from the base station, which will also cause too much consumption of the cluster head node. reduce the lifespan 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
  • Wireless sensor network data transmission method based on double-layer fuzzy algorithm
  • Wireless sensor network data transmission method based on double-layer fuzzy algorithm
  • Wireless sensor network data transmission method based on double-layer fuzzy algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0046] Such as figure 1 As shown, the wireless sensor network data transmission method based on the double-layer fuzzy algorithm includes the following steps:

[0047] Step 1. Initialize the network and determine the position of the nodes: randomly distribute all sensor nodes in a square area, and make the following settings: 1) The base station is fixed in the center of the square area, and the energy is unlimited; 2) The positions of all sensor nodes are fixed , the location information is known, has a unique identifier, and has the same initial energy E0; 3) The base station fully understands the energy levels and locations of all nodes in the network.

[0048] Step 2. Determine the energy consumption model:

[0049] The sensor node sends k-bit data to a position with a distance of d. The energy consumed is composed of two parts: transmiss...

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 data transmission method based on a double-layer fuzzy algorithm. The wireless sensor network data transmission method comprises the following steps:initializing a network and determining a node position; determining an energy consumption model; determining the quantity of cluster heads; carrying out clustering by adopting an improved algorithm; carrying out fuzzy knowledge processing to determine the cluster heads; sending information to the cluster heads by in-cluster nodes; sending the fused data of the in-cluster nodes between the clusterheads by utilizing a fuzzy rule processing manner to a base station; finally, judging whether conditions of finishing a network life cycle are met or not; after all the nodes in the clusters are dead,carrying out next-time clustering so as to effectively prolong the life cycle of the network, balance the energy consumption of the network and optimize the performance of the network.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, and in particular relates to a data transmission method of a wireless sensor network based on a double-layer fuzzy algorithm. Background technique [0002] With the continuous development of single-chip microcomputer, wireless communication, sensor, embedded and energy system, wireless sensor network (WSN) was born under the continuous development of science and technology and the needs of life application and scientific research. Because WSN has the advantages of strong invulnerability, strong adaptability, and rapid development, it has a very wide range of application scenarios in both daily life and professional scientific research. [0003] With the application of WSN more and more widely, there are some technical bottlenecks that are difficult to break through. The most critical of these is the energy issue. Since there are a large number of sensor nodes distributed in the ...

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): H04W4/38H04W40/10H04W40/20H04L12/715H04L12/721
CPCH04L45/124H04L45/46H04W4/38H04W40/10H04W40/20Y02D30/70
Inventor 魏志强殷波丛艳平赵欣
Owner OCEAN UNIV OF CHINA
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