Neural network-based wireless sensor network data prediction method

A wireless sensor and neural network technology, applied in the field of wireless sensor network data prediction, can solve the problems that communication technology is difficult to meet the demand, and achieve the effect of improving convergence, performance, and overall accuracy

Inactive Publication Date: 2014-05-07
伍爵博
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Problems solved by technology

[0002] With the development of information technology and communication technology, people's requirements for data acquisition and

Method used

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  • Neural network-based wireless sensor network data prediction method
  • Neural network-based wireless sensor network data prediction method
  • Neural network-based wireless sensor network data prediction method

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Embodiment 1

[0021] In Embodiment 1 of the present invention, the data source is collected by a sensor network located in a certain area of ​​Zhenjiang City, and the method of the present invention is used for data prediction to predict the possibility of fire in this area. Specific steps are as follows:

[0022] Step 1: Data collection and data preprocessing. Comprehensively considering the geographic location and surrounding environment characteristics of a certain area, this paper selects six influencing factors as the input of the neural network, namely, light (S1), temperature (S2), humidity (S3), wind force (S4), terrain (S5) and flammability type (S6).

[0023] Step 2: Determine the input neuron. The above six features are selected as the input neurons, the illumination describes the light intensity of the area at a certain point in time, the temperature is the current Celsius temperature of the area, the humidity is the current humidity of the area, and the wind force and directi...

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Abstract

The invention provides a neural network-based wireless sensor network data prediction method. According to the method, a neural network is led into a wireless sensor network, and each wireless sensor datum is described through neurons, and a neural network model can be built; the fusion and extraction of acquired data of the wireless sensor network can be realized through using the neural network model of the wireless sensor network; motion items are added, and multiple factors are effectively considered, and not only is the gradient descent direction of a certain moment adjusted, but also a gradient direction before the moment is adjusted, and therefore, a vibration range can be authentically reduced, and training speed can be improved; and main factors that influence data output results are selected through differences between various kinds of application types, and a prediction model is established. The neural network-based wireless sensor network data prediction method of the invention can perform self learning in a certain field so as to obtain influence factors therein and construct complex nonlinear relationships, and therefore, influence of human intervention on prediction results can be effectively reduced, and the results are of greater objectivity.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a wireless sensor network data prediction method. Background technique [0002] With the development of information technology and communication technology, people's requirements for data acquisition and data transmission rate are increasing day by day, and traditional communication technology has been difficult to meet people's needs. The wireless sensor network is the product to achieve this goal and requirement. Through the wireless sensor network, users can obtain the monitoring data of various regions in real time. It is one of the important technologies of the next generation communication network technology. Wireless sensor networks have been applied in many fields and achieved good results. [0003] With the development of wireless technology and network technology, wireless sensor network is a new type of complex network with large data volume micro-nodes...

Claims

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Application Information

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IPC IPC(8): H04W24/06H04W84/18
Inventor 伍爵博
Owner 伍爵博
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