Human-cyber-physical system for Industry 5.0: A review from a human-centric perspective

S Lou, Z Hu, Y Zhang, Y Feng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Industry 5.0 heralds a new wave of the industrial revolution, placing a spotlight on human-
centric intelligent manufacturing. At the core of Industry 5.0 lies the human-cyber-physical …

A privacy-protected intelligent crowdsourcing application of IoT based on the reinforcement learning

Y Ren, W Liu, A Liu, T Wang, A Li - Future generation computer systems, 2022 - Elsevier
The crowdsourcing scheme emerges as a promising solution for data-based application in
the Internet of Things (IoT) network by dividing the large-scale complex sensing tasks into …

Data-driven many-objective crowd worker selection for mobile crowdsourcing in industrial IoT

Z Lu, Y Wang, X Tong, C Mu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the development of mobile networks and intelligent equipment, as a new intelligent
data sensing paradigm in large-scale sensor applications such as the industrial Internet of …

AI-enabled mobile multimedia service instance placement scheme in mobile edge computing

P Roy, S Sarker, MA Razzaque, MM Hassan… - Computer Networks, 2020 - Elsevier
Leveraging cloud infrastructure to the mobile edge computing helps the mobile users to get
real time multimedia services in Fifth Generation (5G) network system. To ensure higher …

Distributed task allocation in mobile device cloud exploiting federated learning and subjective logic

P Roy, S Sarker, MA Razzaque… - Journal of Systems …, 2021 - Elsevier
Abstract Mobile Device Cloud (MDC) has become a promising and lucrative cloud
environment that exploit nearby mobile devices' idle resources to improve compute …

Task offloading to edge cloud balancing utility and cost for energy harvesting internet of things

PK Nandi, MRI Reaj, S Sarker, MA Razzaque… - Journal of Network and …, 2024 - Elsevier
Task offloading from many Internet of Things (IoT) devices to a mobile edge computing
(MEC) system, consisting of multiple collaborative edge servers (CES), results in reduced …

FOLD: Fog-dew infrastructure-aided optimal workload distribution for cloud robotic operations

S Sarker, MT Arafat, A Lameesa, M Afrin, R Mahmud… - Internet of Things, 2024 - Elsevier
In our fast-paced, technology-driven world, multi-robot systems have emerged as crucial
solutions to tackle contemporary challenges, from industrial automation to disaster …

Machine learning in mobile crowd sourcing: A behavior-based recruitment model

M Abououf, S Singh, H Otrok, R Mizouni… - ACM Transactions on …, 2021 - dl.acm.org
With the advent of mobile crowd sourcing (MCS) systems and its applications, the selection
of the right crowd is gaining utmost importance. The increasing variability in the context of …

An anonymous reputation management system for mobile crowdsensing based on dual blockchain

HT Wu, Y Zheng, B Zhao, J Hu - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
In mobile crowdsensing (MCS), sensing data uploaded by dishonest workers may be false
or even malicious. Thus, a reputation management system is often set up by using workers' …

User mobility and quality-of-experience aware placement of virtual network functions in 5G

P Roy, A Tahsin, S Sarker, T Adhikary… - Computer …, 2020 - Elsevier
Abstract Virtual Network Functions (VNFs) in cloud servers of Fifth Generation (5G) network
systems are responsible for executing offloaded codes from mobile users. Placement of …