In recent years, edge-cloud solutions have gained widespread adoption for efficiently
collecting and analyzing IoT-generated data across various domains like urban mobility …

The rapid growth of the Internet of Things (IoT) has exponentially increased the number of
connected devices that generate large amounts of data. Leveraging advanced technologies …

Abstract The Internet of Things (IoT) has recently proliferated in both size and complexity.
Using multi-source and heterogeneous IoT data aids in providing efficient data analytics for …

The burgeoning growth of the Internet of Things (IoT) has prompted a paradigm shift in
computing architectures, leading to the emergence and rapid evolution of edge computing …

Recent years witnessed a boom in IoT devices resulting in big data and demand for low
latency communication giving rise to a demand for 5G Networks. This shift in the …

The transition from traditional cloud computing to edge computing represents a paradigm
shift in data management. As the Internet of Things (IoT) and 5G connectivity continue to …

Driven by the vision of the Internet of things (IoT) and recent technological advances, the
past few years have seen a paradigm shift from centralized cloud computing to edge …

The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …

Edge computing, artificial intelligence (AI), and machine learning (ML) concepts have
become increasingly prevalent in Internet of Things (IoT) applications. As the number of IoT …

The awareness of edge computing is attaining eminence and is largely acknowledged with
the rise of the Internet of Things (IoT). Edge-enabled solutions offer efficient computing and …