Internet of things as system of systems: A review of methodologies, frameworks, platforms, and tools

G Fortino, C Savaglio, G Spezzano… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) is the latest example of the System of Systems (SoS), demanding
for both innovative and evolutionary approaches to tame its multifaceted aspects. Over the …

A survey and taxonomy on task offloading for edge-cloud computing

B Wang, C Wang, W Huang, Y Song, X Qin - IEEE Access, 2020 - ieeexplore.ieee.org
Edge-cloud computing, combining the benefits of both edge computing and cloud
computing, is one of the most promising ways to address the resource insufficiency of smart …

An improved artificial bee colony algorithm with Q-learning for solving permutation flow-shop scheduling problems

H Li, K Gao, PY Duan, JQ Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A permutation flow-shop scheduling problem (PFSP) has been studied for a long time due to
its significance in real-life applications. This work proposes an improved artificial bee colony …

A survey of transfer learning for machinery diagnostics and prognostics

S Yao, Q Kang, MC Zhou, MJ Rawa… - Artificial Intelligence …, 2023 - Springer
In industrial manufacturing systems, failures of machines caused by faults in their key
components greatly influence operational safety and system reliability. Many data-driven …

Disassembly sequence planning: a survey

X Guo, MC Zhou, A Abusorrah… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
It is well-recognized that obsolete or discarded products can cause serious environmental
pollution if they are poorly be handled. They contain reusable resource that can be recycled …

Efficient multi-vehicle task offloading for mobile edge computing in 6g networks

Y Chen, F Zhao, X Chen, Y Wu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the development of 6G wireless communication technologies, various resource-
intensive and delay-sensitive vehicle application tasks are generated. These application …

Task offloading and resource allocation for IoV using 5G NR-V2X communication

S Raza, S Wang, M Ahmed, MR Anwar… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is an innovative computing paradigm with an exceptional
ability to improve the vehicles' capacity to manage computation-intensive applications with …

Efficient federated learning algorithm for resource allocation in wireless IoT networks

VD Nguyen, SK Sharma, TX Vu… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Federated learning (FL) allows multiple edge computing nodes to jointly build a shared
learning model without having to transfer their raw data to a centralized server, thus …

Self-adaptive bat algorithm with genetic operations

J Bi, H Yuan, J Zhai, MC Zhou… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Swarm intelligence in a bat algorithm (BA) provides social learning. Genetic operations for
reproducing individuals in a genetic algorithm (GA) offer global search ability in solving …

Profit maximization in cache-aided intelligent computing networks

R Zhao, F Zhu, M Tang, L He - Physical Communication, 2023 - Elsevier
This paper focuses on the profit maximization problem in a reconfigurable intelligent
surfaces (RIS) aided computing network, where multiple heterogeneous users offload their …