A positioning optimization method for wireless sensor networks under field conditions

A wireless sensor and sensor network technology, applied in the field of wireless sensor network positioning, can solve problems such as large locatable coverage, and achieve the effects of simple network optimization process, reduced cost, and low manpower requirements

Inactive Publication Date: 2017-11-14
NORTHWEST UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

This creates a problem: in order to achieve a certain positionable coverage rate, how to add new nodes so that the number of nodes that need to be added is as small as possible; and to increase the positionable coverage rate as much as possible

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  • A positioning optimization method for wireless sensor networks under field conditions
  • A positioning optimization method for wireless sensor networks under field conditions
  • A positioning optimization method for wireless sensor networks under field conditions

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Embodiment Construction

[0059] The network deployment method in unlabeled target location based on RSS changes has become an important reason that restricts unlabeled target detection and tracking. Therefore, in order to effectively detect and locate the target, how to deploy the network has become a problem worth discussing. The traditional method is to arrange the smallest unit of the node as a regular graph as much as possible, such as regular triangles, regular quadrilaterals, etc. The equilateral triangle is a unit model that requires the least number of nodes to cover an area. However, in actual use, it is found that the problem of insufficient locating area and the problem of area holes are mainly due to the fact that the electromagnetic wave propagation link excludes the first phenanthrene Neil area, the appearance of the target in other areas will not have a significant impact on the RSS value. However, the label-free object localization method based on the change of RSS locates through the ...

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Abstract

The invention discloses a wireless sensor network positioning optimization method under field conditions. The method first divides the target area with finite elements, calculates the area of ​​the positionable area, and then sequentially divides the sensor network by Tyson polygon and Delaunay triangulation. Then, the center of gravity of each Delaunay triangle is obtained and sorted. The newly added sensor node is deployed at the center of gravity of the Delaunay triangle with the largest area. It is judged whether the network coverage meets the requirements. If not, the cycle continues. The positioning method proposed in this plan has very low requirements for the positioning area. There is no need to arrange other equipment except nodes, and there is no need to wear any tags for the positioning target. This makes the manpower requirements of the positioning area very low, and does not require regular maintenance by people. The attached equipment It can also be used for a long time without manual intervention; the positioned area can be in any wild environment, which meets the needs of large-scale cultural heritage protection and wildlife conservation in the wild.

Description

technical field [0001] The invention relates to the technical field of wireless sensor networks, in particular to a positioning method of a wireless sensor network under field conditions. The method mainly takes the protection of large-scale cultural heritage in the field and the protection of wild animals as the background. Background technique [0002] The protection of large-scale cultural heritage in the wild requires long-term, real-time, and accurate monitoring of environmental data; the protection of wild animals requires accurate tracking and positioning of wild animals. We adopt the wireless sensor network (WSN) technology with the advantages of low energy consumption, self-organization, and strong environmental adaptability. The positioning of the target by the wireless sensor network can be divided into two types: target positioning with a tag and target positioning without a tag according to whether the target carries a tag that can assist in positioning. However...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W64/00H04W4/02H04W84/18
CPCH04W16/20H04W16/30H04W84/18
Inventor 汤战勇陈晓江兰轩宇房鼎益刘晨聂卫科徐丹邢天璋任宇辉王举
Owner NORTHWEST UNIV
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