Special Issue Information：
It is a matter of fact that we are living in an exceptional period of modern history that is demanding us to deeply change our lifestyle—especially with reference to the way we work, conduct social activities, practice sport, go out for dinner, and visit other places, just to cite a few. This is happening due to an enemy, a virus, of which some had foreseen the arrival but only few have worked to prepare our society to fight. We now find ourselves having to decide on the strategy, to design the weapons, and to use them to fight against this unexpected enemy, and all this requires putting together the knowledge, intelligence, and tools that humans have developed so far in all scientific fields.
In this respect, communications signal processing and networking technologies represent some of the most prominent ones, as they can significantly help in one of the most effective strategies to undertake the fight—that is, the 3T plan (test, track, and treat). Indeed, the “track” component can significantly benefit from solutions based on the processing of personal device signals. We also know that the crowding of people should be avoided, and that crowding conditions could be automatically detected (e.g., by the use of optical systems, Lidar techniques, and WiFi sniffing solutions). Furthermore, the communication infrastructure is playing a key role in enabling our daily work and leisure activities, while preserving the physical distance among individuals as required to avoid the spread of the virus. Remarkably, this infrastructure has been able to support an unexpected, unforeseeable, sudden and significant traffic increase.
This Special Issue solicits innovative contributions from both academia and industry in the field of communications signal processing and networking systems, architectures, tools, and devices that may help humanity effectively face this unprecedented pandemic scenario.
Topics of interest may include, but are not limited to, the following:
Signal processing for people counting (e.g., WiFi sniffing, video and audio processing, Lidar systems);
Prediction of virus spreading;
Systems for contact tracing;
Modelling of virus spreading in complex networks;
Signal processing for distance estimation;
Sensors for health condition estimation and diagnosis;
Solutions for crowd alerting;
System for patient monitoring;
Solutions for digital learning during the pandemic;
Solutions for smart working during the pandemic;
Robust networking solutions in the pandemic;
Privacy issues and privacy-preserving techniques during contact tracing.
Virus spreading in complex networks
Signal processing for distance estimation
Sensors for health condition estimation
System for crowd alerting
Special Issue Editors:
Prof. Riccardo Raheli Website
Università di Parma, Dipartimento di Ingegneria e Architettura, Parco Area delle Scienze 181A, 43124 Parma, Italy
Interests: wireless communication; multimedia signal processing
Prof. Luigi Atzori Website
University of Cagliari, Italy
Interests: Internet of Things architecture; multimedia communications
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