Edge and Fog Computing for the Internet of Things
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (20 September 2023) | Viewed by 10383
Special Issue Editor
Interests: Internet of Things; low power wide area networks; augmented and virtual sensing techniques; embedded ML; distributed measurement systems; wireless sensor networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over the last few years, embedded systems have experienced a rapid growth in 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 the 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.
The aim of the Special Issue is to invite 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 of edge and fog computing;
- embedded machine learning techniques;
- artificial intelligence algorithms on the edge and on the fog.
Dr. Alessandro Pozzebon
Guest Editor
Manuscript Submission Information
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Keywords
- embedded systems
- Internet of Things (IoT)
- Artificial Intelligence (AI)
- LoRaWAN
- IoT cellular networks
- fog computing
- edge computing
- distributed computing
- data transmission protocols
- smart cities
- smart industries
- smart healthcare
- embedded machine learning
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