Trajectory prediction-based wireless sensor network target tracking method

A wireless sensor and trajectory prediction technology, applied in the field of wireless sensor networks, can solve the problems of non-rechargeable, limited energy, consumption, etc.

Active Publication Date: 2018-10-12
NANJING UNIV OF POSTS & TELECOMM
View PDF6 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, compared with the traditional network target tracking system with strong data processing capability and relatively sufficient resources, wireless sensor nodes are easily limited by energy supply, communication efficiency and processing capacity, etc. has many insurmountable weaknesses
Usually, the sensor network is randomly distributed in the target monitoring area. When the target moves into the w

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
  • Trajectory prediction-based wireless sensor network target tracking method
  • Trajectory prediction-based wireless sensor network target tracking method
  • Trajectory prediction-based wireless sensor network target tracking method

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0075] The present invention will be further described below in conjunction with the drawings. The following embodiments are only used to illustrate the technical solutions of the present invention more clearly, and cannot be used to limit the protection scope of the present invention.

[0076] The following are some terms and definitions used in this invention:

[0077] (1) Boundary grid: If the network boundary line passes through grid G u Inside, then called G u Is the boundary grid.

[0078] (2) Neighbor grid: if grid G u And grid G v There are common edges or vertices, then it is called grid G u And grid G v Each is a neighbor grid.

[0079] (3) Network boundary node: refers to the sensor node S currently in a certain network i , If its sensing range exceeds the boundary of the network, namely: node S i The sensing radius of is greater than S i The distance between itself and the boundary of the network or grid is called: node S i Is the boundary node of the network (.

[0080] (4...

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 trajectory prediction-based wireless sensor network target tracking method, comprising: setting a listening mode for all network boundary nodes; when the network boundary nodes sense that a moving target appears, sending an announcement message to the grid cluster head of the grid in which it is located, and switching the working mode by the grid cluster head and the gridmember node; pre-judging and processing the target reachable region at the time t+deltat while positioning the target by the sensor nodes inside the grid where the moving target is located; continuously adjusting the grid and the working mode of the sensor node in the grid as the target moves; and after the target is lost, performing a recovery mechanism by the grid and the sensor nodes in the grid to reposition the moving target. The invention realizes the real-time accurate tracking of the moving target by designing a reasonable node working mode and the perfect trajectory prediction method, greatly reduces the network energy consumption, and at the same time, effectively prevents the target from being lost by designing the target recovery mechanism for the unexpected situation such asthe target loss.

Description

technical field [0001] The invention relates to an energy-efficient target tracking method based on trajectory prediction, which belongs to the technical field of wireless sensor networks and also belongs to the technical field of target tracking technology. Background technique [0002] A wireless sensor network is a wireless network with limited resources, harsh application scenarios, and complex and changeable application conditions. Most applications of wireless sensor networks depend on the location information of sensor nodes, because only when the location of nodes is known In order to design a more efficient routing mechanism, the data can reach the aggregation node more quickly, thereby reducing network energy consumption, increasing the coverage area of ​​the computing network, and realizing network load balancing and fast and secure information transmission. But now a large number of wireless sensor network applications are no longer limited to obtaining node loca...

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): H04W4/029H04W4/02H04W64/00H04W84/18H04W52/02
CPCH04W4/02H04W4/029H04W52/0203H04W64/00H04W84/18Y02D30/70
Inventor 沙超任春晖宋丹丹张路谈冬冬陆仪黄海平徐鹤王汝传毛锁方
Owner NANJING UNIV OF POSTS & TELECOMM
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