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Wireless sensor network data fusion method

A wireless sensor and network data technology, applied in network topology, wireless communication, wireless communication services, etc., can solve the problems of shortening the service life of wireless sensor networks, excessive energy consumption of sensor nodes, etc., to improve survival time and reduce energy consumption , the effect of convergence acceleration

Inactive Publication Date: 2017-10-24
YANGZHOU UNIV
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Problems solved by technology

If all the information is sent to the sink node, the energy consumption of the sensor nodes will be too fast, which will seriously shorten the service life of the wireless sensor network

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Embodiment Construction

[0014] It is easy to understand that, according to the technical solution of the present invention, those skilled in the art can imagine various implementations of the wireless sensor network data fusion method of the present invention without changing the essence of the present invention. Therefore, the following specific embodiments and drawings are only exemplary descriptions of the technical solution of the present invention, and should not be regarded as the entirety of the present invention or as a limitation or limitation on the technical solution of the present invention.

[0015] According to the wireless sensor network data fusion method based on the firefly algorithm to optimize the RBF neural network in the present invention, each sensor node performs preliminary processing on the data collected by it according to the input layer neuron function, obtains a small amount of characteristic data, and then sends the characteristic data Give the cluster head node of its c...

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Abstract

The invention provides a wireless sensor network data fusion method used for optimizing an RBF neural network based on a firefly algorithm. The method is characterized in that each sensor node carries out preliminary processing on collected data according to an input layer neuron function so as to obtain a small amount of characteristic data, and then sends the characteristic data to a cluster head node of a cluster where the sensor node is located; according to a hidden layer neuron function and an output layer neuron function, the characteristic data is further processed so as to obtain the fused data; and the cluster head node sends the fused data to an aggregation node. In the invention, a transmission quantity of information in the network can be effectively reduced, power consumption of the sensor node can be decreased and simultaneously a network communication bandwidth is saved.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, and in particular relates to a wireless sensor network data fusion method based on a firefly algorithm to optimize an RBF neural network. Background technique [0002] The wireless sensor network is a multi-hop self-organizing network system formed by a large number of sensor nodes deployed in the monitoring area to communicate with each other. It is an important technical form of the underlying network of the Internet of Things. Due to the small size of sensor nodes and very limited resources, in the coverage area of ​​wireless sensor networks, the distribution of sensor nodes often has high density and uneven distribution, which makes the data collected by sensor nodes have high redundancy. If all the information is sent to the sink node, the energy consumption of the sensor nodes will be too fast, which will seriously shorten the service life of the wireless sensor network. I...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/00H04W52/02H04W84/18
CPCH04W52/0219H04W84/18Y02D30/70
Inventor 王进曹溢泉季欢李云李斌
Owner YANGZHOU UNIV
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