E & FCIoT 2022 : Special Issue: Edge and Fog Computing for Internet of Things Systems

Dear Colleagues,

Employing edge and fog computing for building IoT systems is essential considering the massive amount of data generated by sensing devices, the delay requirements of IoT applications, the high burden of data processing on cloud platforms, and the need to take immediate actions against security threats. By pushing processing and storage closer to IoT devices, it is possible to reduce the amount of data sent to the cloud, while also reducing communication delay. To this end, new data aggregation and processing methods are required to distribute computation across the edge to the cloud continuum. Edge and fog computing can also be used to facilitate communication and resource discovery, and enhance the security of IoT devices. New architectures are required to facilitate the communication between IoT devices and servers, depending on the type of application. From the data analytics point of view, efficient and scalable data processing at the edge or task offloading to trustworthy edge/fog nodes is critical to avoid significant delays and network congestion. Meanwhile, the massive and rapidly increasing amount of resource-constrained IoT edge devices has also significantly extended the attack surface, creating new challenges to ensuring data privacy and communication security against emerging threats and establishing trust among multiple communication parties.

For this Special Issue the following topics are of particular interest:

Sensor data processing by edge/fog
Architectures for building edge/fog system
Network function virtualization
Traffic control and traffic shaping
Allocation of computation and communication resources
Edge/fog computing applications, such as healthcare, smart homes, smart cities, intelligent transportation.
Multi-layer collaboration from edge to the cloud
Security, privacy, and trust issues
Secure communication across the edge to cloud continuum
Energy-efficient solutions for edge and fog computing
Signal processing and artificial intelligence

Dr. Behnam Dezfouli
Dr. Yuhong Liu
Guest Editors