Special Issue "Edge and Fog Computing for Internet of Things Systems"
Deadline for manuscript submissions: 30 July 2021.
Interests: Wireless networking and security mechanisms for internet of things systems; edge and fog computing (SDN, virtualization technologies, resource allocation); traffic flow and channel access control methods using machine learning and scheduling; empirical, simulation-based, and theoretical performance evaluation of IoT systems; mobile computing and energy-efficient software development; design and interfacing of hardware platforms for energy measurement and calibration of IoT devices
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
Manuscript Submission Information
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