Method of target tracking and energy consumption optimization of dynamic cluster mechanism of wireless sensor network

A wireless sensor and target tracking technology, applied in wireless communication, energy consumption reduction, energy-saving ICT, etc., can solve the problems of large target tracking error and high network energy consumption

Inactive Publication Date: 2015-07-08
SHANDONG UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0022] However, the target tracking method of the above-mentioned prior art has the defects of large target tracking error and high network energy consumption.

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
  • Method of target tracking and energy consumption optimization of dynamic cluster mechanism of wireless sensor network
  • Method of target tracking and energy consumption optimization of dynamic cluster mechanism of wireless sensor network
  • Method of target tracking and energy consumption optimization of dynamic cluster mechanism of wireless sensor network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0062] In order to evaluate the feasibility of the proposed clustering algorithm, the algorithm is simulated using Matlab.

[0063] First establish a two-dimensional target motion model:

[0064] x k = Φx k-1 +Γw k (3)

[0065] Among them, X k 、X k-1 is the target state variable, Φ is the state transition matrix, Γ is the noise input matrix, w k is zero-mean white Gaussian noise.

[0066] 1) When the target moves at a uniform speed, such as Image 6 as shown, is the target state variable, ie (x,y) T is the position vector, is the velocity vector, Φ is the state transition matrix, Γ is the noise input matrix, w k is zero-mean white Gaussian noise, and its values ​​are:

[0067] Φ = 1 1 ...

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 method of target tracking and energy consumption optimization of a dynamic cluster mechanism of a wireless sensor network. Creation of initial clusters is simple and effective, whether relevant nodes are added into a cluster head is decided by relevant nodes according to residual energy and target signal intensity, dynamic adjustment is conducted on a cluster structure according to movement of a target, and the relevant nodes are awakened in real time to continuously track the target. While tracking precision is ensured, energy consumption is reduced and the service life of the network is prolonged. In addition, dynamic cluster member nodes carry out tracking calculation on the position of the target through a method of maximum likelihood, precision is ensured, and detection radiuses of the nodes of a sensor can reduce the energy consumption of the whole network in a classification mode. The algorithm can effectively track the target, due to the fact that algorithms in which the dynamic cluster mechanism and the detection radiuses of the nodes of the sensor are classified are adopted, nodes which participate in the track every single moment are the nodes with the residual energy and the position optimized, and therefore, tracking precision of the target is ensured, energy consumption can be reduced greatly, and the service life of the network can be prolonged remarkably.

Description

technical field [0001] The invention relates to a wireless sensor network target tracking and energy consumption optimization processing method, in particular to a wireless sensor network dynamic cluster mechanism target tracking and energy consumption optimization method. Background technique [0002] In the prior art, WSN target tracking includes single target tracking and multi-target tracking. Single target tracking mainly includes the following classic single target tracking algorithms. [0003] 1. Binary detection and collaborative tracking [0004] The sensor node has the characteristics of small size and low price, and its sensor module function is relatively weak. The simplest case is described below, that is, the sensor node can only perform binary-detection target tracking. [0005] Such as figure 1 As shown, the idea of ​​dual monitoring is: the sensor node has only two detection states: the target is within the detection range and the target is not within 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 Patents(China)
IPC IPC(8): H04W40/10H04W40/16H04W52/02
CPCY02B60/50Y02D30/70
Inventor 陈曙何子波
Owner SHANDONG 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