Rapid detecting method of irregular sensing area of sensor node in industrial environment
A technology of sensor nodes and sensing areas, applied in transmission systems, digital transmission systems, electrical components, etc., can solve problems such as high cost, low efficiency, and reduced event mobile search range
Active Publication Date: 2016-12-07
GUANGDONG UNIV OF TECH
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[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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[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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Sensing performances of a sensor node are not all the same on all directions because of miscellaneous and multi-source interference factors in an industrial environment, such as strong electromagnetic interferences, metallic mediums, multi-obstacles, and the like. The actual sensing range of the sensor node is usually a non-circular and irregular area. In order to acquire the irregular sensing area of the sensor node, this invention discloses a rapid detecting method of the irregular sensing area of the wireless sensor network node in the industrial environment, and adopts a heuristic event mobile searching and detecting method. The method comprises the steps of firstly, estimating a boundary position of a complete sensing area and a probable sensing area of the node by detecting coarse granularity to narrow the event mobile searching range; and further, detecting fine granularity of the complete sensing area by using the hierarchical heuristic event mobile method. The method effectively solves the problem that the existing carpet event mobile detecting method has high cost and low efficiency, and detects the borders of the deterministic sensing areas of the sensor node with smaller cost and quicker 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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Login to View More 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