Task co-offloading for D2D-assisted mobile edge computing in industrial internet of things
Mobile edge computing (MEC) and device-to-device (D2D) offloading are two promising
paradigms in the industrial Internet of Things (IIoT). In this article, we investigate task co …
paradigms in the industrial Internet of Things (IIoT). In this article, we investigate task co …
Classification of resource management approaches in fog/edge paradigm and future research prospects: A systematic review
The fog paradigm extends the cloud capabilities at the edge of the network. Fog computing-
based real-time applications (Online gaming, 5G, Healthcare 4.0, Industrial IoT, autonomous …
based real-time applications (Online gaming, 5G, Healthcare 4.0, Industrial IoT, autonomous …
Trust management for Internet of Things: A comprehensive study
Driven by the rapid development of the Internet of Things (IoT) technology, the issue of trust
has become increasingly apparent and received considerable scholarly attention in recent …
has become increasingly apparent and received considerable scholarly attention in recent …
Video data offloading techniques in Mobile Edge Computing: A survey
H Ma, B Ji, H Wu, L Xing - Physical Communication, 2023 - Elsevier
Driven by the Quality of Experience (QoE) demands for video analysis applications within
contexts such as smart cities, Industrial Internet of Things (IoT), and Internet of Vehicles …
contexts such as smart cities, Industrial Internet of Things (IoT), and Internet of Vehicles …
Multitask multiobjective deep reinforcement learning-based computation offloading method for industrial Internet of Things
J Cai, H Fu, Y Liu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Edge computing has emerged as a promising paradigm to deploy computing resources to
the network edge. However, most existing computation offloading strategies consider only …
the network edge. However, most existing computation offloading strategies consider only …
Genetic algorithm for delay efficient computation offloading in dispersed computing
H Liu, Z Niu, J Du, X Lin - Ad Hoc Networks, 2023 - Elsevier
As a promising computing paradigm, dispersed computing uses all devices with computing,
communication, and storage capabilities as ubiquitous network computing points (NCPs) to …
communication, and storage capabilities as ubiquitous network computing points (NCPs) to …
Energy-efficient joint task assignment and power control in energy-harvesting D2D offloading communications
In this article, we investigate the joint task assignment and power control problems for
Device-to-Device (D2D) offloading communications with energy harvesting. Exploiting the …
Device-to-Device (D2D) offloading communications with energy harvesting. Exploiting the …
Reliability-Driven End–End–Edge Collaboration for Energy Minimization in Large-Scale Cyber-Physical Systems
In recent years, cyber-physical systems (CPS) have been widely deployed in industrial
manufacturing fields and our daily living domains. End–end–edge collaboration, coupling …
manufacturing fields and our daily living domains. End–end–edge collaboration, coupling …
Joint service caching, resource allocation and computation offloading in three-tier cooperative mobile edge computing system
L Wang, G Zhang - IEEE Transactions on Network Science and …, 2023 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) provides cloud-like computing functionalities for mobile
devices (MDs) by deploying servers at the edge of future 6G network. The cooperation …
devices (MDs) by deploying servers at the edge of future 6G network. The cooperation …
DOT: Decentralized offloading of tasks in OFDMA-based heterogeneous computing networks
A fundamental issue in multiaccess edge computing (MEC) is efficiently offloading multiple
tasks to multiple helper nodes (MTMH), ie, MEC servers. However, most of the existing …
tasks to multiple helper nodes (MTMH), ie, MEC servers. However, most of the existing …