Energy-efficient industrial Internet of Things: Overview and open issues
The last few decades have witnessed an explosive growth of the Internet-of-Things (IoT)
systems, which provide ubiquitous sensing and computing services. When adopted in …
systems, which provide ubiquitous sensing and computing services. When adopted in …
Key advances in pervasive edge computing for industrial Internet of Things in 5G and beyond
This article surveys emerging technologies related to pervasive edge computing (PEC) for
industrial internet-of-things (IIoT) enabled by fifth-generation (5G) and beyond …
industrial internet-of-things (IIoT) enabled by fifth-generation (5G) and beyond …
Task offloading in fog computing: A survey of algorithms and optimization techniques
The exponential growth in Internet of Things (IoT) devices and the limitations of cloud
computing in terms of latency and quality of service for time-sensitive applications have led …
computing in terms of latency and quality of service for time-sensitive applications have led …
A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning
Offloading assists in overcoming the resource constraints of specific elements, making it one
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …
Towards effective offloading mechanisms in fog computing
Fog computing is considered a formidable next-generation complement to cloud computing.
Nowadays, in light of the dramatic rise in the number of IoT devices, several problems have …
Nowadays, in light of the dramatic rise in the number of IoT devices, several problems have …
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 …
FedDOVe: A Federated Deep Q-learning-based Offloading for Vehicular fog computing
Abstract Connected Autonomous Vehicles (CAVs) aim to provide various smart
transportation applications which have computation-intensive tasks. The vehicles having …
transportation applications which have computation-intensive tasks. The vehicles having …
Drl-driven joint task offloading and resource allocation for energy-efficient content delivery in cloud-edge cooperation networks
With the proliferation of mobile devices (eg, vehicles and smartphones), rich media content
services from massive users lead to high network resource consumption and energy usage …
services from massive users lead to high network resource consumption and energy usage …
[HTML][HTML] A comprehensive survey of energy-efficient computing to enable sustainable massive IoT networks
MH Alsharif, AH Kelechi, A Jahid… - Alexandria Engineering …, 2024 - Elsevier
Energy efficiency is a key area of research aimed at achieving sustainable and
environmentally friendly networks. With the rise in data traffic and network congestion, IoT …
environmentally friendly networks. With the rise in data traffic and network congestion, IoT …
Workload re-allocation for edge computing with server collaboration: A cooperative queueing game approach
In this paper, a long-term workload management problem for multi-server edge computing
with server collaboration is studied. In the considered model, mobile users' computation …
with server collaboration is studied. In the considered model, mobile users' computation …