Node Deployment Method for Wireless Sensor Networks Based on CFD and Clustering Algorithm
A wireless sensor and clustering algorithm technology, applied in network topology, network planning, wireless communication, etc., can solve the problem of inaccurate reflection of actual environmental conditions, difficulty in determining actual WSN environmental monitoring points, and impact on control system stability and energy consumption, etc. question
Inactive Publication Date: 2019-12-06
CHONGQING UNIV
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[0010] In view of this, the purpose of the present invention is to provide a wireless sensor network node deployment method based on CFD and clustering algorithm, which can solve the problem that it is difficult to determine the actual WSN environmental monitoring points in the building space, which cannot accurately reflect the actual environmental conditions and affect control System stability and energy consumption and other issues
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[0028] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0029] figure 1 It is a schematic flow chart of the method of the present invention, as shown in the figure, the wireless sensor network node deployment method based on CFD and clustering algorithm provided by the present invention specifically includes the following steps:
[0030] Step 1: From the actual building environment, use experiments and research methods to obtain the environmental parameters of the building;
[0031] In this embodiment, the environmental parameters of the building include geographic location information, building entrance and exit size, building orientation, building height, window-to-wall ratio, cooling (heat) capacity, air volume, and air outlet temperature, etc. Heat and cold source layout.
[0032] Step 2: Using CFD related technology to establish a cloud map of the environmental information distribution of...
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The invention relates to a wireless sensor network node deployment method based on CFD (computational fluid dynamics) and a clustering algorithm and belongs to the technical field of wireless sensor network deployment and building energy conservation. The method comprises the following steps: step 1, acquiring environmental parameters from an actual building environment with experimental and research methods; step 2, constructing an environmental information distribution cloud picture model of building space on the basis of a CFD related technology; step 3, clustering data of the environmental information distribution cloud picture model of the building space on the basis of the clustering algorithm; step 4, defining hierarchy constraints of sensibility by combining mathematical analysis; step 5, determining a final node deployment strategy with sensitivity analysis. A perception layer layout strategy is optimized by fusing CFD, the clustering algorithm, sensitivity analysis and other technical methods, perception layer information of the building environment can be reflected accurately with the method, and a positive effect is produced for stability and low energy consumption of an environmental control system.
Description
technical field [0001] The invention belongs to the technical field of wireless sensor network deployment and building energy saving, and relates to a wireless sensor network node deployment method based on CFD and clustering algorithm. Background technique [0002] Wireless sensor network is becoming a hot field of global attention. Node deployment is the basis of wireless sensor network work, which is directly related to the accuracy, integrity and timeliness of network monitoring information. [0003] The node deployment of the wireless sensor network is the first problem that needs to be solved in the specific application, and it is the basis for the normal operation of the network. Only when the sensor nodes are arranged in the monitoring area can further work be carried out. Reasonable node deployment can not only improve network work efficiency and optimize the use of network resources, but also change the number of active nodes according to changes in application req...
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IPC IPC(8): H04W16/18H04W84/18
CPCH04W16/18H04W84/18Y02D30/70
Inventor 石欣付佳蕾赵莹张宏祥曾兴旺陆未定王梨秦鹏杰邱雷梁妙姝韩可松魏跃东刘昱岑
Owner CHONGQING UNIV