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A fast detection method for irregular sensing areas of sensor nodes in industrial environment

A technology of sensor nodes and sensing areas, applied in transmission systems, digital transmission systems, data exchange networks, etc., can solve problems such as low efficiency, high cost, and reduced event mobile search range

Active Publication Date: 2019-07-23
GUANGDONG UNIV OF TECH
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Problems solved by technology

[0004] For this reason, in order to obtain the sensing ability of sensor nodes in an industrial mixed interference environment, the present invention proposes a fast detection method for irregular sensing areas, and adopts a search and detection method based on heuristic event movement, which can greatly reduce the search range of event movement and effectively It solves the problem of high cost and low efficiency of the current carpet event mobile search detection method, and obtains the deterministic perception area boundary of the sensor node with a small cost and a fast speed

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  • A fast detection method for irregular sensing areas of sensor nodes in industrial environment
  • A fast detection method for irregular sensing areas of sensor nodes in industrial environment
  • A fast detection method for irregular sensing areas of sensor nodes in industrial environment

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Embodiment Construction

[0028] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0029] This embodiment describes in detail the specific implementation process of a fast detection method for irregular sensing areas of industrial environment sensor nodes. Such as figure 2 As shown, in the industrial mixed interference environment, for a given sensor node S, follow the steps below to detect the boundary of its irregular full sensing area:

[0030] Step1: Coarse-grained estimation of the sensor node's non-regular full perception area boundary

[0031] Taking the sensor node S as the center of the circle, two mutually perpendicular diameters are arbitrarily selected, and four radii with S as the center of the circle are obtained. Event source detection points are set along the four radial directions, and equidistant segmentation is adopted. In order to achieve high-precision boundary estimation, the length of each segment can be set ...

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Abstract

In the industrial environment, strong electromagnetic interference, metal media, multiple obstacles and other mixed and multi-source interference factors, the performance of sensor nodes in all directions is not completely the same, and the actual sensing range should usually be a non-circular irregular area. . In order to obtain the irregular sensing area of ​​the sensor node, the present invention discloses a fast detection method for the irregular sensing area of ​​the wireless sensor network node in the industrial environment, which adopts the heuristic event moving search detection method: firstly, the coarse-grained detection estimates the complete sensing area of ​​the node The boundary position of the probabilistic perception area narrows the search range of event movement; further, a hierarchical heuristic event movement method is used to achieve fine-grained full perception area boundary detection. This method effectively solves the problems of high cost and low efficiency of the current carpet-type event movement detection method, and detects the deterministic perception area boundary of the sensor node with a small cost and a fast speed.

Description

technical field [0001] The present invention relates to the technical field of wireless sensor networks, and more particularly, to a fast detection method for irregular sensing areas of sensor nodes in a wireless sensor network. Background technique [0002] The actual perception ability of sensor nodes is the key to determine the availability of their services. In the industrial environment, strong electromagnetic interference, metal media, multiple obstacles and other mixed and multi-source interference factors, the performance of sensor nodes in all directions is not exactly the same. Its actual perception range should usually be a non-circular irregular area. In terms of describing the effective sensing capabilities of sensor nodes, the current common perception models include disc model, random probability model, modified probability model, direction perception model, etc. The above-mentioned traditional perception models have certain limitations in describing irregular...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W24/02H04L12/751H04W84/18H04L45/02
CPCH04L45/02H04W24/02H04W84/18
Inventor 王涛程良伦刘军董晓庆
Owner GUANGDONG UNIV OF TECH