Intelligent computation offloading and resource allocation in IIoT with end-edge-cloud computing using NSGA-III
Industrial Internet of Things (IIoT), which consists of massive IoT devices and industrial
infrastructures such as wireless access points to acquire intelligent services, has been …
infrastructures such as wireless access points to acquire intelligent services, has been …
iedge: An iot-assisted edge computing framework
Edge computing has emerged as a viable solution to bridge the gap between distributed
Internet of Things (IoT) devices and centralized distant clouds. In particular, small-scale …
Internet of Things (IoT) devices and centralized distant clouds. In particular, small-scale …
Energy-efficient deployment of edge dataenters for mobile clouds in sustainable IoT
Achieving quick responses with limited energy consumption in mobile cloud computing is an
active area of research. The energy consumption increases when a user's request (task) …
active area of research. The energy consumption increases when a user's request (task) …
Guest Editorial Introduction to the Special Section on Computational Intelligence and Advanced Learning for Next-Generation Industrial IoT
The rapid development of real-time Industrial Internet-of-Things (IIoT) applications including
green infrastructure, smart grids, smart city, intelligent transport networks, etc. enables green …
green infrastructure, smart grids, smart city, intelligent transport networks, etc. enables green …
An efficient clustering and deep learning based resource scheduling for edge computing to integrate cloud-IoT
G Vijayasekaran, M Duraipandian - Wireless Personal Communications, 2022 - Springer
Internet of things (IoT) gains wide attention in every domain due to its potential ability to
connect large number of device that generates a huge amount of data. IoT applications …
connect large number of device that generates a huge amount of data. IoT applications …
Federated learning-based computation offloading optimization in edge computing-supported internet of things
Recent visualizations of smart cities, factories, healthcare system and etc. raise challenges
on the capability and connectivity of massive Internet of Things (IoT) devices. Hence, edge …
on the capability and connectivity of massive Internet of Things (IoT) devices. Hence, edge …
Serious challenges and potential solutions for the industrial internet of things with edge intelligence
The Industrial Internet of Things (IIoT) can improve manufacturing efficiency, enhance
product quality, and reduce cost and pollution in industrial production, realizing intelligent …
product quality, and reduce cost and pollution in industrial production, realizing intelligent …
Ai-based mobile edge computing for iot: Applications, challenges, and future scope
New technology is needed to meet the latency and bandwidth issues present in cloud
computing architecture specially to support the currency of 5G networks. Accordingly, mobile …
computing architecture specially to support the currency of 5G networks. Accordingly, mobile …
Edge computing for the internet of things
By moving data computation and service supply from the cloud to the edge, edge computing
has become a promising solution to address the limitations of cloud computing in supporting …
has become a promising solution to address the limitations of cloud computing in supporting …
Scalable edge computing for IoT and multimedia applications using machine learning
Edge computing springs up a modern computing platform for Internet of Things (IoT), smart
systems, and multimedia applications. These technologies are built using resource …
systems, and multimedia applications. These technologies are built using resource …