IoT applications in fog and edge computing: Where are we and where are we going?

M Heck, J Edinger, D Schäfer… - 2018 27th International …, 2018 - ieeexplore.ieee.org
In the past decade, cloud computing has shown its potential to provide powerful and reliable
resources at the core of the network. Many applications can benefit from the wide range of …

SVCC-HSR: Providing secure vehicular cloud computing for intelligent high-speed rail

P Dong, T Zheng, X Du, H Zhang, M Guizani - IEEE Network, 2018 - ieeexplore.ieee.org
VCC can bring many benefits to intelligent transportation systems. Meanwhile, HSR, an
increasingly efficient means of transportation, faces several challenges in terms of high …

Mobile crowd computing: potential, architecture, requirements, challenges, and applications

PKD Pramanik, S Pal, P Choudhury - The Journal of Supercomputing, 2024 - Springer
Owing to the enormous advancement in miniature hardware, modern smart mobile devices
(SMDs) have become computationally powerful. Mobile crowd computing (MCC) is the …

Learning and batch-processing based coded computation with mobility awareness for networked airborne computing

B Wang, J Xie, K Lu, Y Wan, S Fu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The implementation of many Unmanned Aerial Vehicle (UAV) applications (eg, fire
detection, surveillance, and package delivery) requires extensive computing resources to …

Ad-hoc edge cloud: A framework for dynamic creation of edge computing infrastructures

AJ Ferrer, JM Marques, J Jorba - 2019 28th International …, 2019 - ieeexplore.ieee.org
Over the course of the last decades there has been significant growth in smartphone
penetration and capacities. This trend presently complements the rise of IoT and ever …

Decentralized low-latency task scheduling for ad-hoc computing

J Edinger, M Breitbach, N Gabrisch… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
End users can mutually share their computing resources in ad-hoc computing environments
with code offloading. This augments the computational power of resource-constrained …

Mobile learning new trends in emerging computing paradigms: An analytical approach seeking performance efficiency

K Mohiuddin, MN Miladi, M Ali Khan… - Wireless …, 2022 - Wiley Online Library
Mobile learning (m‐learning) adoption has increased and shall be demonstrated superior
performance by implementing related computing paradigms, such as IoT, edge, mobile …

[HTML][HTML] Dram: A drl-based resource allocation scheme for mar in mec

T Song, X Tan, J Ren, W Hu, S Wang, S Xu… - Digital Communications …, 2023 - Elsevier
Abstract Mobile Edge Computing (MEC) and 5G technology allow clients to access
computing resources at the network frontier, which paves the way for applying Mobile …

Stable, robust and off-the-shelf methods for graphics recognition

K Tombre, C Ah-Soon, P Dosch… - … Recognition (Cat. No …, 1998 - ieeexplore.ieee.org
We claim that time has come in graphics recognition for choosing stable and robust
methods, even (or especially) when this means implementing methods proposed by others …

An optimal real-time distributed algorithm for utility maximization of mobile ad hoc cloud

F Zhang, R Deng, H Liang - IEEE Communications Letters, 2018 - ieeexplore.ieee.org
In this letter, we investigate utility maximization of mobile ad hoc cloud with an incentive
mechanism to encourage mobile devices to share their idle resources. Considering that at …