There is a rapid increase in the number of edge devices in IoT solutions, generating vast
amounts of data that need to be processed and analyzed efficiently. Traditional cloud-based …

Sensors, wearables, mobile and other Internet of Thing (IoT) devices are becoming
increasingly integrated in all aspects of our lives. They are capable of collecting massive …

The amount of data generated by sensors, actuators, and other devices in the Internet of
Things (IoT) has substantially increased in the last few years. IoT data are currently …

Unit 1 -Madhavi Dave Page 1 INTERNET OF THINGS Unit 1 -Madhavi Dave Page 2
Introduction ■ Internet Of Things is fully networked and connected devices sending analytics …

The Internet of Things is generating an enormous amount of data. Analyzing and managing
that data requires programming and statistical approaches. Big Data technology operates on …

The papers in this special issue provide a highly exciting opportunity to explore the
interdisciplinary nature of the management of Internet of Things (IoT) and big data analytics …

As an important enabler for changing people's lives, advances in artificial intelligence (AI)-
based applications and services are on the rise, despite being hindered by efficiency and …

Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …

With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …

In recent years, there has been a paradigm shift in Internet of Things (IoT) from centralized
cloud computing to edge computing (or fog computing). Developments in ICT have resulted …