Technological revolutions in smart farming: Current trends, challenges & future directions
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 …
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
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 …
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
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 …
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
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 …
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 …
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
In our fast-paced, technology-driven world, multi-robot systems have emerged as crucial
solutions to tackle contemporary challenges, from industrial automation to disaster …
solutions to tackle contemporary challenges, from industrial automation to disaster …
Dynamic task allocation for robotic edge system resilience using deep reinforcement learning
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 …
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
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 …
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 …
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 …
stochastic cyber-physical systems (CPSs) with output constraint under deception attacks is …