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Detection-information-fusion-based wireless sensor network deterministic deployment method

A wireless sensor and information detection technology, applied in network planning, network topology, wireless communication, etc., can solve problems such as lack of effective methods

Inactive Publication Date: 2011-11-23
SUZHOU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The deployment of wireless sensor network nodes based on information coverage involves many aspects such as sensor perception, parameter estimation, and data fusion. The methods proposed so far are mainly aimed at the application fields that require random deployment, such as forest fire monitoring and nuclear pollution area monitoring. In other words, for the application fields that can be deployed deterministically, such as automated equipment monitoring and shipyard container monitoring, how to determine the number of sensor nodes to be deployed and the specific placement of sensor nodes, especially how to determine the distance between sensor nodes, is still lacking. Useful ways

Method used

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  • Detection-information-fusion-based wireless sensor network deterministic deployment method
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  • Detection-information-fusion-based wireless sensor network deterministic deployment method

Examples

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Effect test

Embodiment 1

[0033] Example 1: Equilateral triangle deployment method

[0034] In the deterministic deployment strategy of wireless sensor networks, the equilateral triangle deployment method is a common deployment method. The so-called equilateral triangle deployment method refers to the arrangement of sensor nodes in an equilateral triangle manner, such as figure 1 Shown. figure 1 Among them, the center position of the three circles is the deployment position of the sensor node. The sensing range of the sensor node is the circle with the sensor node as the center and radius r. If the cooperative information processing capability (ie, physical coverage) between sensor nodes is not considered, When the distance d between the target and at least one sensor node is not greater than r, the target can be detected, otherwise it cannot be detected. figure 1 The middle circular area is the sensing range of a single sensor node, and the black area between the circles is the area that can be sensed ...

Embodiment 2

[0062] Embodiment 2: Square deployment mode

[0063] Similar to the equilateral triangle deployment method, the square deployment method requires the sensor nodes to be arranged in a square manner, such as Image 6 Shown. There are also three situations in square deployment, such as Figure 7 Shown. Case1 indicates that the sensing ranges of sensor nodes have intersections, Case2 indicates that the sensing ranges of sensor nodes are just tangent, and Case3 indicates that the sensing ranges of sensor nodes do not have intersections. As the separation distance between sensor nodes becomes larger, the area that needs to use cooperative information processing to detect targets becomes larger, such as Figure 7 Part of the horizontal line area.

[0064] When the number of sensor nodes for detecting information fusion is K=2, the optimal linear unbiased estimation method is used to calculate the estimated value of the target feature parameter θ And parameter estimation error The follo...

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Abstract

The invention discloses a detection-information-fusion-based wireless sensor network deterministic deployment method, which comprises the following steps of: detecting the signal strength x of a target by utilizing sensor devices, wherein the target can be detected by a plurality of sensor devices; computing an estimation value of a target characteristic parameter Theta and a parameter estimation error according to the detected signal strength and characteristic parameter expression of the target by adopting a best linear unbiased estimation method; and computing a maximum spacing distance dmax between adjacent sensor nodes; and computing the number of the sensor nodes required to be deployed and specific arrangement positions according to the dmax. In the method, the number of the sensor nodes for detection can be greatly reduced based on a parameter estimation theory under the condition of given detection probability, detection efficiency can be improved and the cost of implementing effective monitoring by a wireless sensor network can be reduced by utilizing the cooperative information processing capability of the sensor nodes; and the method is applied in the fields of factory automatic equipment state monitoring and fault diagnosis, urban traffic safety monitoring and the like.

Description

Technical field [0001] The invention relates to a wireless sensor network deployment method, in particular to a deterministic deployment method of a wireless sensor network based on detection information fusion, which can be applied to the fields of battlefield environment monitoring, factory automation equipment state detection and diagnosis, and urban traffic safety monitoring. Background technique [0002] The use of wireless sensor networks to implement environmental parameter or equipment status monitoring has a wide range of applications in fields such as battlefield environmental monitoring, factory automation equipment detection and diagnosis. How the sensor nodes are deployed in the network is related to the accuracy and efficiency of monitoring, as well as the cost and cost of implementing monitoring. Therefore, effective deployment methods and methods are particularly important. [0003] In the prior art, the deployment of wireless sensor network nodes includes random de...

Claims

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Application Information

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IPC IPC(8): H04W16/18H04W24/04H04W84/18
CPCY02B60/50Y02D30/70
Inventor 郑建颖黄艳黄伟国朱忠奎汪一鸣
Owner SUZHOU UNIV
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