Technological revolutions in smart farming: Current trends, challenges & future directions

V Sharma, AK Tripathi, H Mittal - Computers and Electronics in Agriculture, 2022 - Elsevier
With increasing population, the demand for agricultural productivity is rising to meet the goal
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …

Ifogsim2: An extended ifogsim simulator for mobility, clustering, and microservice management in edge and fog computing environments

R Mahmud, S Pallewatta, M Goudarzi… - Journal of Systems and …, 2022 - Elsevier
Abstract Internet of Things (IoT) has already proven to be the building block for next-
generation Cyber–Physical Systems (CPSs). The considerable amount of data generated by …

SyRoC: Symbiotic robotics for QoS-aware heterogeneous applications in IoT-edge-cloud computing paradigm

A Zhu, H Lu, S Guo, Z Zeng, M Ma, Z Zhou - Future Generation Computer …, 2024 - Elsevier
Smart Robots, as an advanced domain of widespread concern, can be applied in diverse
fields to perform compute-intensive Internet of Things (IoT) applications. However, their …

CollOR: Distributed collaborative offloading and routing for tasks with QoS demands in multi-robot system

A Zhu, H Lu, S Guo, Z Zeng, Z Zhou - Ad Hoc Networks, 2024 - Elsevier
Multi-access edge computing (MEC) offers prospective opportunities for robots that have
various computational tasks to execute in Industry 4.0, smart cities and many other fields …

DELOFF: Decentralized Learning-Based Task Offloading for Multi-UAVs in U2X-Assisted Heterogeneous Networks

A Zhu, H Lu, M Ma, Z Zhou, Z Zeng - Drones, 2023 - mdpi.com
With multi-sensors embedded, flexible unmanned aerial vehicles (UAVs) can collect sensory
data and provide various services for all walks of life. However, limited computing capability …

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 …

Dynamic task allocation for robotic edge system resilience using deep reinforcement learning

M Afrin, J Jin, A Rahman, S Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Incorporating edge and cloud computing with robotics provides extended options for robots
to perform real-time sensing and actuation operations in various cyber–physical systems …

[HTML][HTML] MURE: Multi-layer real-time livestock management architecture with unmanned aerial vehicles using deep reinforcement learning

X Tian, M Afrin, S Mistry, R Mahmud, A Krishna… - Future Generation …, 2024 - Elsevier
In recent years, the combination of unmanned aerial vehicles (UAVs) and wireless sensor
networks (WSNs) has gained popularity in livestock management (LM) due to energy …

Cloud-Edge Framework for AoI-Efficient Data Processing in Multi-UAV-Assisted Sensor Networks

M Ma, Z Wang, S Guo, H Lu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Cloud and edge computing paradigms are increasingly being applied to data processing for
Internet of Things (IoT) sensors. Meanwhile, unmanned aerial vehicles (UAVs) can assist …

Adaptive Intelligent Control for Nonlinear Stochastic Cyber-Physical Systems With Unknown Deception Attacks: Switching Event-Triggered Scheme

H Yue, J Zhang, J Xia, JH Park… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, the adaptive intelligent control problem for a class of nonlinear switched
stochastic cyber-physical systems (CPSs) with output constraint under deception attacks is …