Edge and Fog Computing for the Internet of Things, 2nd Edition

Dear Colleagues,

Over the last few years, embedded systems have experienced a rapid growth regarding the computation capabilities of microcontrollers and microprocessors. This aspect, combined with the availability of Internet of Things (IoT)-devoted data transmission technologies, is being extensively exploited to move several data processing tasks from the cloud towards the edge of networks. Many low-cost hardware platforms enable the implementation of artificial intelligence (AI) algorithms, both at the edge and spread throughout the network, while data transmission technologies, such as LoRaWAN or IoT cellular networks (e.g., NB-IoT or LTE-M), facilitate data exchange among IoT nodes, as well as the distribution of the computation load, according to the fog computing paradigm.

This Special Issue seeks either original research contributions or detailed surveys related to edge or fog computing solutions and techniques within the IoT framework, including, but not limited to, the following topics:

• Edge computing techniques for the IoT;
• Fog computing techniques for the IoT;
• IoT network technologies for distributed computing;
• Data transmission protocols for edge and fog computing;
• Edge and fog computing solutions for smart cities;
• Edge and fog computing solutions for smart industries;
• Edge and fog computing solutions for smart healthcare;
• Distributed monitoring solutions relying on edge and fog computing;
• Embedded machine learning techniques;
• Artificial intelligence algorithms on the edge and on the fog.

Dr. Alessandro Pozzebon
Dr. Giacomo Peruzzi
Guest Editors

Manuscript Submission Information

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