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Edge intelligence for the next generation Internet of Things
Submission status
Closed
Submission deadline
The exponential growth and availability of mobile and Internet of Things devices is producing huge volumes of multi-modal data which need to be analysed in real time at the network edge, that is, near the data source itself instead of relying on the cloud. Edge Computing has enabled extensive computing capabilities to gain insights and make decisions at the edge of the network before the data is sent to the cloud. More recently, breakthroughs in deep learning have paved the way to a new emerging technology, Edge Intelligence, that is posed to revolutionise the computing landscape by combining advanced connectivity, compact processing power, and artificial intelligence located near devices that use and generate data. How to migrate the conventional big data architecture to the new edge context raises new challenges in its decentralised management and security.
This Collection aims to stimulate discussion and highlight original research in the field of Edge Intelligence for the next generation Internet of Things and intends to provide a timely venue for engineers, researchers, and industrial professionals to showcase their latest solutions, new emerging trends, and state-of-the-art applications in engineering and any other IT fields which may benefit from the edge computing paradigm.