Multidimensional node deployment optimization method of underwater wireless sensor network based on grid partition

A wireless sensor and sensor node technology, applied in the field of underwater wireless sensor network node deployment, can solve the problems of inability to take into account network coverage efficiency, coverage redundancy network survival time, node cost, transmission and connectivity efficiency, etc.

Active Publication Date: 2018-02-16
ZHEJIANG UNIV OF TECH
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the shortcomings of existing underwater wireless sensor network node deployment methods that cannot take into account network coverage efficiency, coverage redundancy, network survival time, node cost, and transmission connectivity efficiency, the pres

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
  • Multidimensional node deployment optimization method of underwater wireless sensor network based on grid partition
  • Multidimensional node deployment optimization method of underwater wireless sensor network based on grid partition
  • Multidimensional node deployment optimization method of underwater wireless sensor network based on grid partition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] The present invention will be further described below in conjunction with the accompanying drawings.

[0055] refer to Figure 1 ~ Figure 4 , a multi-dimensional optimal node deployment method for underwater wireless sensor networks based on mesh division. Since the three-dimensional environment that the underwater sensor network needs to detect is complex and changeable, in order to facilitate the discussion of node deployment issues, the cuboid area that needs to be sensed can be divided into A grid of certain specifications. A cuboid network with a specification of K×M×L can form (K+1)×(M+1)×(L+1) grid points (Grid Node, GN), and each grid point in the network can be label, and the location of the base station is marked as No. 1. It is assumed that when the present invention discusses the optimal deployment of network nodes, sensor nodes can only be deployed at grid points. This is a simplified treatment of continuous problems in the real environment. The finer th...

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 multidimensional node deployment optimization method of an underwater wireless sensor network based on grid partition. In a node deployment problem of the underwater sensor network, a to-be-sensed cuboid area is divided into cuboid networks with specifications of K*M*L, the minimum control on the node number is deployed, the maximum value of the network coverage efficiencyis calculated, the maximum network transmission communication efficiency is controlled, the minimum network coverage redundancy is controlled, the network survival time is controlled to be as long aspossible, and a mathematic model of multi-objective programming can be solved to convert a plurality of indexes into a single target function for calculation so as to obtain a better deployment strategy. By adoption of the multidimensional node deployment optimization method provided by the invention, the network coverage efficiency, the coverage redundancy, the network survival time, the node cost and the transmission communication efficiency are all considered.

Description

technical field [0001] The invention relates to a node deployment method of an underwater wireless sensor network, especially after considering factors such as network coverage efficiency, coverage redundancy, network survival time, node cost, transmission connection efficiency, etc., based on a genetic algorithm to provide An efficient node deployment method. Background technique [0002] Underwater Wireless Sensor Networks (UWSN) is to deploy nodes with low energy consumption and limited communication distance in designated water areas (sensing areas), and use the self-organization ability of nodes to automatically form a network to analyze information in the sensing area. Collect and complete the corresponding data collection and collation. UWSN has extensive and important uses in marine resource exploration, marine environment monitoring and marine military fields, and has attracted great attention from industry, academia and military circles. [0003] Different from t...

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): H04W16/20H04W16/22H04W84/18
CPCH04W16/20H04W16/225H04W84/18
Inventor 周凯孟利民华惊宇徐志江
Owner ZHEJIANG UNIV OF TECH
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