Multi-mobile-node data collection method based on optimized k-means algorithm

A mobile node and data collection technology, applied in advanced technology, electrical components, climate sustainability, etc., can solve problems such as uneven energy consumption, achieve the effects of avoiding hot spots, improving efficiency, and avoiding energy imbalance

Inactive Publication Date: 2017-11-24
YANGZHOU UNIV
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the nodes near the moving path of the mobile node still have to carry a lot of data load, and the problem of uneven energy consumption still exists

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
  • Multi-mobile-node data collection method based on optimized k-means algorithm
  • Multi-mobile-node data collection method based on optimized k-means algorithm
  • Multi-mobile-node data collection method based on optimized k-means algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] It is easy to understand that, according to the technical solution of the present invention, those skilled in the art can imagine various implementations of the data collection method with multiple mobile nodes in the present invention without changing the essence of the present invention. Therefore, the following specific embodiments and drawings are only exemplary descriptions of the technical solution of the present invention, and should not be regarded as the entirety of the present invention or as a limitation or limitation on the technical solution of the present invention.

[0027] Such as figure 1 Shown, the present invention is based on the multi-mobile node data collection method of optimization k-means algorithm, comprises the steps:

[0028] (10) Select the initial cluster head: the wireless sensor network has no clustering at the beginning, and k sensor nodes are randomly selected as the cluster head nodes;

[0029] In the aforementioned (10) initial clust...

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 provides a multi-mobile-node data collection method. The method is characterized in that k sensor nodes are randomly selected from a wireless sensor network as cluster head nodes; the distance between the other sensor nodes in the wireless sensor network and the selected k cluster head nodes is calculated respectively, and the cluster head node, the distance of which is the smallest, is selected to join in a cluster; in k clusters, each sensor node calculates weighted sum according to residual energy of itself and the distance between the sensor node and the other sensor nodes, and the sensor node, the weighted sum of which is the smallest, is selected as a new cluster head node; if a cluster head changes, clustering is carried out again; after clustering again, in-cluster sensor nodes send the collected data to the cluster head nodes; a plurality of mobile nodes collect data of the multiple cluster head nodes in each circular path; and after data collection, each mobile node transmits the data to a sink node through a collaboration method. The method solves the problem of uneven energy consumption in the network, improves load balance and energy balance in the whole network, and meanwhile, prolongs network lifetime.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, and in particular relates to a multi-mobile node data collection method based on optimizing k-means. Background technique [0002] The wireless sensor network is composed of a large number of sensor nodes with the ability to sense information, wireless communication and data processing. These nodes are randomly scattered in the monitoring area, collect and process information in a cooperative manner, and provide the information to remote users. . Due to the characteristics of low cost, strong adaptability and powerful functions of wireless sensor network, it has broad application prospects in military, medical, smart home, environmental protection and other fields. [0003] Wireless sensor network is a data-centric network, and data collection technology is also the basic technology of wireless sensor network. The biggest difference between wireless sensor networks and other ne...

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): H04W40/02H04W40/10H04W40/32
CPCH04W40/02H04W40/10H04W40/32Y02D30/70
Inventor 王进季欢居春伟王凯牛俊明
Owner YANGZHOU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap