Edge computing on IoT for machine signal processing and fault diagnosis: A review
Edge computing is an emerging paradigm that offloads the computations and analytics
workloads onto the Internet of Things (IoT) edge devices to accelerate the computation …
workloads onto the Internet of Things (IoT) edge devices to accelerate the computation …
Networking architecture and key supporting technologies for human digital twin in personalized healthcare: A comprehensive survey
Digital twin (DT), referring to a promising technique to digitally and accurately represent
actual physical entities, has attracted explosive interests from both academia and industry …
actual physical entities, has attracted explosive interests from both academia and industry …
Service migration or task rerouting: A two-timescale online resource optimization for MEC
In this paper, a novel two-timescale resource management framework for mobile edge
computing (MEC) is constructed. Unlike existing studies, for providing seamless and cost …
computing (MEC) is constructed. Unlike existing studies, for providing seamless and cost …
Efficient multiple green energy base stations far-field wireless charging for mobile IoT devices
Powering a huge number of Internet of Things Devices (IoTDs), necessitated in many
Internet of Things (IoT) applications, is a dreadful problem in many circumstances, in terms …
Internet of Things (IoT) applications, is a dreadful problem in many circumstances, in terms …
Learning aided joint sensor activation and mobile charging vehicle scheduling for energy-efficient WRSN-based industrial IoT
In this paper, the joint sensor activation and mobile charging vehicle scheduling for wireless
rechargeable sensor network (WRSN) based industrial Internet of Things (IIoT) is studied. In …
rechargeable sensor network (WRSN) based industrial Internet of Things (IIoT) is studied. In …
Secure architecture for Industrial Edge of Things (IEoT): A hierarchical perspective
P Li, J **a, Q Wang, Y Zhang, M Wu - Computer Networks, 2024 - Elsevier
Abstract The Industrial Internet of Things (IIoT) is an application of the IoT specifically
tailored for industrial manufacturing, characterized by its heightened requirements for …
tailored for industrial manufacturing, characterized by its heightened requirements for …
A Reinforcement Learning Based Stochastic Game for Energy-Efficient UAV Swarm Assisted MEC With Dynamic Clustering and Scheduling
In this paper, we study the energy-efficient unmanned aerial vehicle (UAV) swarm assisted
mobile edge computing (MEC) with dynamic clustering and scheduling. In the considered …
mobile edge computing (MEC) with dynamic clustering and scheduling. In the considered …
A computation offloading game for jointly managing local pre-processing time-length and priority selection in edge computing
Edge computing has been regarded as an enabling technology for supporting future smart
applications, such as industrial Internet of Things. In this paper, a novel computation …
applications, such as industrial Internet of Things. In this paper, a novel computation …
Collaborative Edge-Cloud Data Transfer Optimization for Industrial Internet of Things
X Zhang, M Wang, X Zhu, Z Yan… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
In the Industrial Internet of Things, it is necessary to reserve enough bandwidth resources
according to the maximum traffic peak. However, bandwidth reservation based on the …
according to the maximum traffic peak. However, bandwidth reservation based on the …
Dystri: A Dynamic Inference based Distributed DNN Service Framework on Edge
Deep neural network (DNN) inference poses unique challenges in serving computational
requests due to high request intensity, concurrent multi-user scenarios, and diverse …
requests due to high request intensity, concurrent multi-user scenarios, and diverse …