Abstract The Internet of Things (IoT) comprises smart objects capable of sensing,
processing, and transmitting application-specific data. These objects collect and transmit a …

A novel approach is presented in this work for context-aware connectivity and processing
optimization of Internet of Things (IoT) networks. Different from the state-of-the-art …

Edge computing-based framework is capable of improving users' quality of experience in
cognitive Internet of Things (IoT) networks. To explore the advantages of this edge …

The proliferation of the Internet of Things (IoT) demands a diverse and wide range of
requirements in terms of latency, reliability, energy efficiency, etc. Future IoT systems must …

With the rapid development of the Internet of Things (IoT) network, the IoT devices need to
perform the artificial intelligence (AI) model to make decisions according to the specific …

Edge computing offers a promising paradigm for implementing the industrial Internet of
things (IIoT) by offloading intensive computing tasks from resource constrained machine …

The popularity of smart mobile devices has led to a tremendous increase in mobile traffic,
which has put a considerable strain on the fifth generation of mobile communication …

The convergence of Artificial Intelligence (AI) can overcome the complexity of network
defects and support a sustainable and green system. AI has been used in the Cognitive …

Cognitive networks (CNs) are one of the key enablers for the Internet of Things (IoT), where
CNs will play an important role in the future Internet in several application scenarios, such as …

Abstract The Internet of Things (IoT) technology allows massive devices to connect to the
internet for data exchange. It is anticipated that in near future, trillions of IoT devices will be …