A novel offloading approach of IoT user perception task based on quantum behavior particle swarm optimization

L Chen, DG Zhang, J Zhang, T Zhang, WJ Wang… - Future Generation …, 2023 - Elsevier
To solve the problem of high time consumption and energy loss of edge computing
perceptual task offloading in the mobile IoT (Internet of things), it is necessary to increase the …

Content caching in mobile edge computing: a survey

Y Khan, S Mustafa, RW Ahmad, T Maqsood… - Cluster …, 2024 - Springer
As wireless communication technology continues to advance, the number of intelligent
devices, such as computers, mobile phones, and iPads, is increasing rapidly. To keep up …

A survey of edge caching security: Framework, methods, and challenges

H Zhang, J Wang, Z Zhao, Z Zhao - Journal of Systems Architecture, 2024 - Elsevier
Edge caching reduces the frequent communication between users and remote cloud servers
by caching popular content at the network edge, which can decrease response latency and …

RIS-aided proactive mobile network downlink interference suppression: A deep reinforcement learning approach

Y Wang, M Sun, Q Cui, KC Chen, Y Liao - Sensors, 2023 - mdpi.com
A proactive mobile network (PMN) is a novel architecture enabling extremely low-latency
communication. This architecture employs an open-loop transmission mode that prohibits all …

Improving Application Support in 6G Networks with CAPOM: Confluence-Aided Process Organization Method

JAJ Alsayaydeh, AJA Al-Gburi, SG Herawan - IEEE Access, 2023 - ieeexplore.ieee.org
Systems requiring terahertz transmission and high sampling capabilities can be supported
by sixth-generation (6G) technology with minimal latency and excellent service throughput …

Intelligent Caching Based on Popular Content in Vehicular Networks: A Deep Transfer Learning Approach

MWA Ashraf, A Raza, AR Singh… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Information-centric networking (ICN) allows data to be cached at each node in the network. It
is vital in vehicular networks (VNs) to improve caching performance and reduce content …

Attention Mechanism-Aided Deep Reinforcement Learning for Dynamic Edge Caching

Z Teng, J Fang, H Yang, L Yu, H Chen… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The dynamic mechanism of joint proactive caching and cache replacement, which involves
placing content items close to cache-enabled edge devices ahead of time until they are …

A review on task offloading mechanism for iot edge fog cloud data interplay

P Gupta, R Sharma, S Gupta - 2022 IEEE Delhi Section …, 2022 - ieeexplore.ieee.org
In many cyber-physical systems (CSP) based applications such as health care, smart grid,
traffic management, etc., the data measurements are used for the asset or structural health …

A Novel Internet of Vehicles's Task Offloading Decision Optimization Scheme for Intelligent Transportation System

S Zhu, Y Wang, H Chen, H Zha - Wireless Personal Communications, 2024 - Springer
In the future intelligent transportation system (ITSs), there will be a lot of negotiation work
between vehicle and vehicle (V2V) and between vehicle and infrastructure (V2I), so it is very …

Chebyshev‐Gauss Approximation Analysis for Mobile Edge Computing‐Aided IoT Networks

F Zhu, L Chen, W Zhou, D Deng, Y Tang… - Wireless …, 2022 - Wiley Online Library
Recently, mobile edge computing (MEC) has been widely applied into Internet of Things
(IoT) networks, which has attracted a lot of attention from researchers. A critical challenge in …