An intelligent task scheduling mechanism for autonomous vehicles via deep learning

G Balasekaran, S Jayakumar, R Pérez de Prado - Energies, 2021 - mdpi.com
With the rapid development of the Internet of Things (IoT) and artificial intelligence,
autonomous vehicles have received much attention in recent years. Safe driving is one of …

Task allocation among connected devices: Requirements, approaches, and challenges

V Pilloni, H Ning, L Atzori - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Task allocation (TA) is essential when deploying application tasks to systems of connected
devices with dissimilar and time-varying characteristics. The challenge of an efficient TA is to …

Application and Challenges of IoT Healthcare System in COVID-19

AA Al-Atawi, F Khan, CG Kim - Sensors, 2022 - mdpi.com
The importance of the IoT is increasing in every field of life, and it especially has a significant
role in improving the efficiency of the healthcare system. Its demand further increased during …

A criticality-aware dynamic task scheduling mechanism for efficient resource load balancing in constrained smart manufacturing environment

AN Khan, N Iqbal, A Rizwan, S Malik, R Ahmad… - IEEE …, 2022 - ieeexplore.ieee.org
Smart factory is an exemplification of the Industrial Internet of Things (IIoT), connecting
devices to expedite the production process and delivery of customized products. Today's …

Improved control scheduling based on learning to prediction mechanism for efficient machine maintenance in smart factory

S Malik, DH Kim - Actuators, 2021 - mdpi.com
The prediction mechanism is very crucial in a smart factory as they widely help in improving
the product quality and customer's experience based on learnings from past trends. The …

Improvement of safety in road environment by designing an advanced driver assistance system

VG Krishnan, PV Rao… - 2022 International …, 2022 - ieeexplore.ieee.org
As driver assistance systems (DAS) become more widely used in automobiles over the last
few decades, the quality of driving has improved as a result. It is essential to customize …

Real-time communication model for IoT systems

S Deniziak, M Płaza, Ł Arcab - 2023 18th Conference on …, 2023 - ieeexplore.ieee.org
Internet of Things solutions typically involve interaction between sensors, actuators, the
cloud, embedded systems and user applications. Often in such cases, there are time …

Selfish routing game-based multi-resource allocation and fair scheduling of indivisible jobs in edge environments

H Siar, M Izadi - IEEE Access, 2022 - ieeexplore.ieee.org
Distributed and heterogeneous edge computing environments require efficient allocation
and scheduling of multiple users' applications. This paper presents a game-theoretic …

INDENT: Incremental Online Decision Tree Training for Domain-Specific Systems-on-Chip

A Krishnakumar, R Marculescu, U Ogras - Proceedings of the 41st IEEE …, 2022 - dl.acm.org
The performance and energy efficiency potential of heterogeneous architectures has fueled
domain-specific systems-on-chip (DSSoCs) that integrate general-purpose and domain …

[PDF][PDF] A flexible scheduling architecture of resource distribution proposal for autonomous driving platforms

H Askaripoor, S Shafaei, A Knoll - Proceedings of the 7th …, 2021 - mediatum.ub.tum.de
Autonomous driving has attracted a significant amount of attentions over the last ten years.
Providing a flexible platform to schedule the executions of the tasks under hard real-time …