Network Slicing and Deep Reinforcement Learning (DRL) are vital enablers for achieving
5G and 6G networks. A 5G/6G network can comprise various network slices from unique or …

The proliferation of Internet of Things (IoT) devices and other IT forms in almost every area of
human existence has resulted in an enormous influx of data that must be managed and …

In the fifth-generation (5G) wireless networks, Edge-Internet-of-Things (EIoT) devices are
envisioned to generate huge amounts of data. Due to the limitation of computation capacity …

Computing paradigms have evolved significantly in recent decades, moving from large room-
sized resources (processors and memory) to incredibly small computing nodes. Recently …

Today, there exists a growing demand for Internet of Things (IoT) services in the form of
vehicle networks, smart cities, augmented reality, virtual reality, positioning systems, and so …

Integrating edge computing with AI offers a profoundly enabling opportunity to reduce
latency and allow real-time decision-making in distributed networks within cloud …

Abstract The Internet of Things (IoT) has grown significantly in popularity, accompanied by
increased capacity and lower cost of communications, and overwhelming development of …

Recently, IoT (Internet of Things) has been an attractive area of research to develop smart
home, smart city environment. IoT sensors generate data stream continuously and majority …

The Internet of Things (IoT) requires a new processing paradigm that inherits the scalability
of the cloud while minimizing network latency using resources closer to the network edge …

Over the past few years, the relevance of the Internet of Things (IoT) has grown significantly
and is now a key component of many industrial processes and even a transparent …