Collection
Intelligent Edge Computing for Emerging Sustainable Smart IoT Environments
The internet of Things (IoT) is an emerging technology interconnecting millions of devices such as household appliances, medical devices, vehicles, electric meters, etc. These devices are the heartbeat that enables the deployment of a plethora of smart IoT ecosystems such as smart cities, smart transportation, smart homes, smart health, smart vehicles, etc. Intelligent edge computing is a new cloud paradigm that has become increasingly popular in recent years. It refers to the ability to process data at the edge of a network, close to where it is generated, instead of sending it to a centralized data center for processing. With the emergence of 5G/6G networks, and the new advances in artificial intelligence and machine learning, the intelligent edge has become even more critical for enabling more sustainable smart Internet of Things (IoT) environments. With the increasing population and means of transportation in cities, the demand for energy and resources has skyrocketed. Intelligent edge computing can help to manage these demands by providing real-time analytics of energy usage, traffic patterns, and other data, allowing city planners to make informed decisions and optimize resources. This technology can also be used to monitor and control pollution levels, reducing the negative impact of urbanization on the environment. The aim of this Topical Collection is to cover the latest research in the field of AI-powered Edge Computing for the support of sustainable 5G/6G-enabled IoT smart ecosystems. We invite researchers to contribute both their original research and review articles. Potential topics of interest include but are not limited to the following:
• Sustainable smart IoT ecosystems
• IoT data analytics at the edge
• Distributed AI/ML, federated learning, transfer learning, reinforcement learning
• Security and privacy for IoT in future smart cities
• Internet of Vehicles, smart autonomous transportation, smart health, smart buildings
• Intelligent computing for 5G/6G IoT applications
• Massive Machine Type Communications (mMTC)
• Sustainable communication, green communication, energy-efficient networking
• Intelligent Mobile Edge Computing (IMEC)
• Pervasive, ambient, and intelligent IoT
• Sustainable IoT
• Sustainable IoUAV
• Resources optimization at the edge
Keywords:
Sustainable IoT applications; Intelligent Edge Computing; AI; ML; B5G/6G; IoT; Smart Cities; Sustainability
Editors
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Abderrahmane Lakas
Professor Abderrahmane Lakas, United Arab Emirates University, United Arab Emirates He received his M.S. and Ph.D. in computer systems from the University of Paris 6, France. He is currently a Professor of Computer Engineering at the College of Information Technology, UAE University. Prior to joining UAE University in 2003, he had many years of industrial experience working in telecommunication companies such as Netrake, Nortel, and Newbridge.
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Mohamed Amine Ferrag
Dr. Mohamed Amine Ferrag, Technology Innovation Institute, United Arab Emirates He received the bachelor’s, master’s, Ph.D., and Habilitation degrees in computer science from Badji Mokhtar—Annaba University, Annaba, Algeria, in June 2008, June 2010, June 2014, and April 2019, respectively. Since October 2014, he has been a Senior Lec- turer with the Department of Computer Science, Guelma University, Guelma, Algeria. Since July 2019, he has been a Visiting Senior Researcher with the NAU-Lincoln Joint Research Center of Intelligent Engineering, Nanjing Agricultural University, Nanjing, China.
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Chaker Abdelaziz Kerrache
Associate Professor Chaker Abdelaziz Kerrache, University of Laghouat, Algeria He is an Associate Professor in the Department of Computer science at Amar Telidji University of Laghouat in Algeria. He received his MSc. degree in Computer Science degree at the University of Laghouat, Algeria, in 2012, and his Ph.D. degree in Computer Science degree at the University of Laghouat, Algeria in 2017. His research activity is related to Trust and Risk Management, Secure Multi-hop Communications, Vehicular Networks, Named Data Networking, and UAVs.
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Parag Kularni
Associate Professor Parag Kulkarni, United Arab Emirates University, United Arab Emirates He is currently an Associate Professor with the Department of Computer and Network Engineering, College of Information Technology. Before joining UAEU, he has spent a decade at the Toshiba’s Telecommunications Research Laboratory, Bristol, U.K., where he has led a team of researchers and was actively engaged in research, intellectual property generation, technology transfer, standardization, and outreach activities in wide ranging areas, such as the Internet of Things , machine to machine (M2M) communications, ICT for sustainability, etc.
