Deep learning

The Internet

Operating system

World Wide Web

Edge device

Artificial intelligence

Enhanced Data Rates for GSM Evolution

Edge computing

Computer network

Computer security

Computer science

Multimedia

Telecommunications

Cloud computing

Internet of Things

IEEE Network

Deep learning is a promising approach for extracting accurate information from raw sensor data from IoT devices deployed in complex environments. Because of its multilayer structure, deep learning is also appropriate for the edge computing environment. Therefore, in this article, we first introduce deep learning for IoTs into the edge computing environment. Since existing edge nodes have limited processing capability, we also design a novel offloading strategy to optimize the performance of IoT deep learning applications with edge computing. In the performance evaluation, we test the performance of executing multiple deep learning tasks in an edge computing environment with our strategy. The evaluation results show that our method outperforms other optimization solutions on deep learning for IoT.

Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing