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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: 2014-02-26
SUZHOU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

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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

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Embodiment 1

[0033] Embodiment 1: Equilateral triangle deployment method

[0034] In the deterministic deployment strategy of wireless sensor networks, equilateral triangle deployment is a commonly used deployment method. The so-called equilateral triangle deployment means that the sensor nodes are arranged in an equilateral triangle, such as figure 1 shown. figure 1 Among them, the positions of the centers of the three circles are the deployment positions of the sensor nodes, and the sensing range of the sensor nodes is a circle with the radius r as the center of the sensor nodes. 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 circle area in the middle is the sensing range of a single sensor node, and the black area between the circles is the area that can be perceived through cooperative information processing between sensor nodes. With equilateral triangle deployment,...

Embodiment 2

[0062] Example 2: Square deployment method

[0063] Similar to the equilateral triangle deployment method, the square deployment method requires sensor nodes to be arranged in a square manner, such as Image 6 shown. There are also three situations in the square deployment method, such as Figure 7 shown. Case1 indicates that the sensing ranges of the sensor nodes overlap, Case2 indicates that the sensing ranges of the sensor nodes are just tangent, and Case3 indicates that the sensing ranges of the sensor nodes do not overlap. As the distance between sensor nodes increases, 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 detection information fusion is K=2, use the optimal linear unbiased estimation method to calculate the estimated value of the target characteristic parameter θ and parameter estimation errors The following r...

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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 wireless sensor network deterministic deployment method based on detection information fusion, which can be applied to fields such as 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 parameters or equipment status monitoring has a wide range of applications in battlefield environment monitoring, factory automation equipment detection and diagnosis, and other fields. How to deploy sensor nodes in the network is related to the accuracy and efficiency of monitoring, and also related to the cost and cost of implementing monitoring. Therefore, effective deployment methods and methods are particularly important. [0003] In the prior art, wireless sensor network node deployment includes random dep...

Claims

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Application Information

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Patent Type & Authority Patents(China)
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