Model-driven data transmission method and system in wireless sensor network

A data transmission method and data transmission system technology, applied in wireless communication, network planning, advanced technology, etc., can solve problems such as high calculation and storage costs, reduce energy consumption, reduce storage and calculation complexity, and prolong service life Effect

Active Publication Date: 2015-04-08
INST OF COMPUTING TECHNOLOGY - CHINESE ACAD OF SCI
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Considering the limited hardware resources of sensor nodes, ado

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  • Model-driven data transmission method and system in wireless sensor network
  • Model-driven data transmission method and system in wireless sensor network
  • Model-driven data transmission method and system in wireless sensor network

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[0038] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0039] In an embodiment of the present invention, an online model-driven data transmission system in a wireless sensor network is provided. The system includes multiple sensor nodes and gateways. Simultaneously run two data trend prediction models on sensor nodes, which are referred to as real-time prediction models and synchronous prediction models hereinafter. At the same time, a data trend prediction model corresponding to each sensor node is also set on the gateway. The data trend prediction model located on the gateway and corresponding to each sensor node is exactly the s...

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Abstract

The invention provides a model-driven data transmission method and a system in a wireless sensor network. The method comprises the following steps: when a sensor node collects a sensing data, updating a parameter of a real-time prediction model on the node, and calculating a sensing data prediction value at the moment by virtue of a synchronous prediction model on the node; when an error between the sensing data prediction value and the collected sensing data is greater than a set error threshold, updating the parameter of the synchronous prediction model by virtue of the parameter of the real-time prediction model, and transmitting the updated parameter of the synchronous model and the collected sensing data to a gateway. According to the system and the method, the data transmission problem of an offline training phase of the model is avoided; the quantity of data transmission in the network is reduced under the premise that the quality of the data collected by the sensor network is not reduced; the energy consumption of the sensor node is reduced, thus the service life of the sensor network is prolonged.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, in particular to a model-driven data collection and transmission method in the wireless sensor network. Background technique [0002] In recent years, a large number of applications have been born in the field of wireless sensor network technology. However, sensor nodes are usually powered by batteries, which makes energy a bottleneck for wireless sensor network applications. In wireless sensor network applications, the energy consumption of sensor nodes mainly occurs in wireless communication during data transmission and reception. Therefore, in data-driven wireless sensor network applications (such as environmental monitoring), in order to extend the life cycle of the network, it is necessary to reduce the redundant transmission of data while ensuring data quality. [0003] Related research work shows that the model-driven data transmission mechanism can ensure the reduction ...

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Application Information

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IPC IPC(8): H04W16/22H04W24/10H04W52/02
CPCH04W16/22H04W24/10H04W52/0209H04W52/0258Y02D30/70
Inventor 陈艳王子健赵泽李栋崔莉
Owner INST OF COMPUTING TECHNOLOGY - CHINESE ACAD OF SCI
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