Wireless sensor network positioning optimization method under field condition

A wireless sensor and network positioning technology, applied in the field of wireless sensor network positioning, can solve the problem of large positioning coverage, etc., and achieve the effect of simple network optimization process, cost reduction, and low manpower demand

Inactive Publication Date: 2015-02-18
NORTHWEST UNIV
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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 numb...

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  • Wireless sensor network positioning optimization method under field condition
  • Wireless sensor network positioning optimization method under field condition
  • Wireless sensor network positioning optimization method under field condition

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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 targets, 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 target location method based on RSS changes locates through the impact of the...

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Abstract

The invention discloses a wireless sensor network positioning optimization method under a field condition. The method includes: performing finite element division on a target area, calculating the area of the area which can be positioned, sequentially performing Thiessen polygon division and Delaunay triangulation subdivision on a sensor network to obtain the gravity center of each Delaunay triangle and sorting, deploying newly-added sensor nodes to the gravity center of the largest Delaunay triangle, judging whether network coverage meets the requirements or not, and if not, repeating the steps. The method has the advantages that the requirement of the to-be-positioned area is quite low, no other equipment except for the nodes needs to be arranged, and positioning targets do not need to wear any labels; manpower requirements of the to-be-positioned area is quite low, frequent maintenance by people is not needed, and the deployed equipment can be used for a long time without artificial intervention; the to-be-positioned area can be any field environments, and the requirements of large field cultural heritage protection and wild animal protection are satisfied.

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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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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