Guest Editors:

Prof. Parag Chatterjee
Universidad de la República, Uruguay & Universidad Tecnológica Nacional, Argentina
paragc@ieee.org

Professor Minna Isomursu
University of Oulu, Finland
minna.isomursu@oulu.fi

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The COVID-19 pandemic has made a humongous impact in almost every sector across the world. Spanning from healthcare to transports, from education to manufacturing, the shudders of the COVID-19 have been felt in almost all domains. From a global perspective, with ensuing challenges posed by the pandemic, there is an increasing interest worldwide in developing solutions based on Internet of Things (IoT). The disruptions caused by the pandemic has invoked a sharp push in the use of these IoT solutions, like remote health-monitoring, intelligent air quality analysis, remote industrial maintenance, use of robotics for services, and many more.

The goal of this special issue IoT Toward COVID-19 is to bring together researchers and practitioners from academia and industry into a common platform, to showcase the state-of-the-art research and development in this field of IoT, addressing the key necessities and challenges while applying the solutions for combating COVID-19. Considering the advancements in the field of IoT through innovative and efficient solutions from areas like sensing, networking and communications, IoT infrastructures, secured data storage systems, cloud and edge computing, intelligent data management, and artificial intelligence, this special issue is aimed at proffering a common platform for different stakeholders toward combating the COVID-19 pandemic.

The special issue invites original research in the field of IoT applied to scenarios related to COVID-19. Also, high-quality surveys, tutorial and best practices showing the state-of-art and the latest trends in the allied fields are invited. Moreover, case studies would also constitute an interesting element of the special issue, to illustrate the applied aspects of IoT during the pandemic using real life scenarios.

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Topics

Topics covered in the special issue include, but are not limited to:

IoT sensors for smart eHealth devices during COVID-19
IoT system architectures
Wearables and eHealth smart monitoring devices for Remote Healthcare
Mobile environments for ubiquitous and intrinsic sensing
Cloud and Edge computing for IoT
Interoperability and standards for IoT Telemedicine and Cybermedicine during COVID-19
Big Data Analytics and Data Mining for IoT
Machine Learning and Artificial Intelligence in IoT
IoT and Computational intelligence towards efficient diagnosis
IoT and Predictive Analytics towards early detection
Ubiquitous Computing towards pervasive systems
IoT-based remote healthcare for elderly
Ambient Assisted Living IoT for active and healthy aging
Remote Industrial Maintenance using IoT
Remote Transport Management with IoT
IoT and Remote working scenario
Safety and Security in IoT — Increase of Data-Risks during COVID-19
Data privacy in IoT — recent trends and challenges during COVID-19

Submission Guideline:

Please use this link for all submissions: https://www.editorialmanager.com/iot/default.aspx. When submitting, please select the Article Type "SI: IoT Toward COVID-19"

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Important Dates:

Submission deadline: January 15, 2021
Acceptance deadline: February 15 , 2021
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