[HTML][HTML] The industrial internet of things (IIoT): An analysis framework
H Boyes, B Hallaq, J Cunningham, T Watson - Computers in industry, 2018 - Elsevier
Abstract Historically, Industrial Automation and Control Systems (IACS) were largely isolated
from conventional digital networks such as enterprise ICT environments. Where connectivity …
from conventional digital networks such as enterprise ICT environments. Where connectivity …
Internet of things (IoT) for next-generation smart systems: A review of current challenges, future trends and prospects for emerging 5G-IoT scenarios
The Internet of Things (IoT)-centric concepts like augmented reality, high-resolution video
streaming, self-driven cars, smart environment, e-health care, etc. have a ubiquitous …
streaming, self-driven cars, smart environment, e-health care, etc. have a ubiquitous …
6G wireless communications networks: A comprehensive survey
The commercial fifth-generation (5G) wireless communications networks have already been
deployed with the aim of providing high data rates. However, the rapid growth in the number …
deployed with the aim of providing high data rates. However, the rapid growth in the number …
Internet of things (iot) security intelligence: a comprehensive overview, machine learning solutions and research directions
Abstract The Internet of Things (IoT) is one of the most widely used technologies today, and
it has a significant effect on our lives in a variety of ways, including social, commercial, and …
it has a significant effect on our lives in a variety of ways, including social, commercial, and …
IoT in smart cities: A survey of technologies, practices and challenges
Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …
removing the necessity of human intervention. This enables the capacity of having smart (or …
Machine learning in IoT security: Current solutions and future challenges
The future Internet of Things (IoT) will have a deep economical, commercial and social
impact on our lives. The participating nodes in IoT networks are usually resource …
impact on our lives. The participating nodes in IoT networks are usually resource …
Security, privacy and risks within smart cities: Literature review and development of a smart city interaction framework
The complex and interdependent nature of smart cities raises significant political, technical,
and socioeconomic challenges for designers, integrators and organisations involved in …
and socioeconomic challenges for designers, integrators and organisations involved in …
Tinyml-enabled frugal smart objects: Challenges and opportunities
R Sanchez-Iborra, AF Skarmeta - IEEE Circuits and Systems …, 2020 - ieeexplore.ieee.org
The TinyML paradigm proposes to integrate Machine Learning (ML)-based mechanisms
within small objects powered by Microcontroller Units (MCUs). This paves the way for the …
within small objects powered by Microcontroller Units (MCUs). This paves the way for the …
Edge-computing-enabled smart cities: A comprehensive survey
Recent years have disclosed a remarkable proliferation of compute-intensive applications in
smart cities. Such applications continuously generate enormous amounts of data which …
smart cities. Such applications continuously generate enormous amounts of data which …
Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges
Internet-of-Things (IoT) refers to a massively heterogeneous network formed through smart
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …