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Erschienen in:
2019 | OriginalPaper | Buchkapitel
An IOT Data Collection Mechanism Based on Cloud-Edge Coordinated Deep Learning
verfasst von : Zi-hao Wang, Jing Wang
Erschienen in: Wireless Sensor Networks
Verlag: Springer Singapore
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Abstract
The large-scale of data collection from IoT devices to central cloud brings several challenges that need to be overcome, especially for needs of real-time collection and bandwidth restrictions. In order to address this issue, we proposed a data collection method that combine cloud with edge node by using deep learning technology to provide the data collection service. The cloud is responsible for storing the large amount of historical sensor data, training the deep learning model, and deploying the model to the edge side. The edge node will receive the model of data prediction and then determines whether the real data will be uploaded to the cloud to optimize the model. Experiments show that the method we proposed can not only increase the speed of data collection, but also reduces the network traffic and eliminates bandwidth load effectively.