This article presents an energy-efficient industrial Internet of Things (IIoT) architecture that
minimizes the data transmission process based on sensor data prediction. While current IIoT …

Green energy management has become a critical economic solution for efficient energy
consumption; however, the available literature is deficient in emphasising the importance of …

In this paper, we investigate how to deploy computational intelligence and deep learning
(DL) in edge-enabled industrial IoT networks. In this system, the IoT devices can …

The Internet of Things (IoT), which allows systems of billions or trillions of “things,” such as
sensors, to communicate with each other over the Internet, is encountering several technical …

The development of Internet of Things technologies has provided potential for real-time
monitoring and control of environment in smart cities. In the field of energy management …

Nowadays, the emerging internet of things (IoT) technology offers the connectivity and
communication between all things (various objects/things, devices, actuators, sensors, and …

Green energy management is an economical solution for better energy usage, but the
employed literature lacks focusing on the potentials of edge intelligence in controllable …

Internet of Things (IoT) applications suffer from network security, sensor deployment, energy
consumption, etc. Recent studies show that most energy is consumed in the case of smart …

Wireless sensor networks are limited by the vast majority of goods with limited resources.
Power consumption, network longevity, throughput, routing, and network security are only a …

In this paper, we propose a distributed solution to design a multi-hop ad hoc Internet of
Things (IoT) network where mobile IoT devices strategically determine their wireless …