A Mobile Data Collection Method for Wireless Sensor Networks Based on Tree Cluster Structure

A mobile data collection and wireless sensor technology, applied in wireless communication, network traffic/resource management, advanced technology, etc., can solve problems such as increasing network life, achieve the effect of increasing network life, reducing node energy consumption, and balancing load

Inactive Publication Date: 2018-08-03
HOHAI UNIV CHANGZHOU
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0016] The purpose of the present invention is to solve many problems and deficiencies existing in the existing mobile Sink data collection technology, and proposes a wireless sensor network mobile data collection method based on a tree-like cluster structure, wherein the parent node is mainly found locally through the node To form a tree, select a part of the data rendezvous point RP and sub-rendezvous point SRP in the tree, and associate other nodes with at least one rendezvous point, and the MDC will reach these rendezvous points to collect the data collected by each node, which can effectively balance the load. Reduce node energy consumption, alleviate hotspot problems, and increase network life

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 Mobile Data Collection Method for Wireless Sensor Networks Based on Tree Cluster Structure
  • A Mobile Data Collection Method for Wireless Sensor Networks Based on Tree Cluster Structure
  • A Mobile Data Collection Method for Wireless Sensor Networks Based on Tree Cluster Structure

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] The data collection method proposed by the present invention is implemented by the sink dispatching the mobile data collector MDC to periodically move to each convergence point in the network deployment area for data collection. The whole algorithm is mainly divided into three stages: the first stage is the tree-forming stage, each node is weighted by the average remaining energy of one-hop neighbors, the number of neighbor nodes and the corresponding remaining energy, and a tree is found by comparing the weights through mutual communication between neighbors. Jump to the parent node with the largest weight value in the range to build a data collection tree. In the second stage, the root node of each tree is determined as the rendezvous point Rendezvous Point (RP), and the tree is divided according to the depth of the tree and the number of sub-tree nodes, and the sub-rendezvous point (SRP) is found on the tree. ) to balance the load. In the third stage, the location o...

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 mobile data collecting method based on an arborescence cluster structure. The method comprises: based on the weighted spanning scheme, each node selects a maximum weighted node as a father node along the neighbor nodes in the jump range, after a tree is completed, a root node with the maximum weighted on each tree conducts Rendezvous Point (RP); based on a hop count and a flow current which are distanced from the root node, the segmentation is carried out on the tree, and the Sub-Rendezvous Point (SRP) in the tree is selected; the RP and the SRP are lingering collecting point of a mobile data collector (MDC), and the reselection, namely the tree recompleted, is conducted after a fixed period. Therefore, according to the wireless sensor network mobile data collecting method based on the arborescence cluster structure, equalizing network load is achieved, the node consumption is lowered, the hotspot problem is effectively alleviated, and the network life is prolonged.

Description

technical field [0001] The invention belongs to the field of wireless sensor networks. Specifically, the invention relates to a mobile data collection method based on a tree-like cluster structure in a wireless sensor network. Notify MDC for data collection. Background technique [0002] In recent years, more and more attention has been paid to data collection schemes using Mobile Elements (MEs), such as mobile sinks or mobile data collectors (MDCs), in wireless sensor networks (WSNs). In the process of WSN data collection using the mobile element ME, due to the frequent changes of the location of the ME, it can prevent the nodes around the ME from dying too quickly, and then achieve the purpose of balancing the load and alleviating the hotspot problem. However, the frequent change of the location of the ME will introduce the problem of increasing the overhead of the control packet for notifying each node of the latest location information of the ME. By clustering each nod...

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): H04W28/08H04W52/02
CPCH04W28/08H04W52/02H04W52/0209Y02D30/70
Inventor 朱川武帅韩光洁刘国高张赛
Owner HOHAI UNIV CHANGZHOU
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