[PDF][PDF] Unmanned aerial vehicle-based applications in smart farming: A systematic review

M Lachgar, H Hrimech, A Kartit - International Journal of …, 2023 - researchgate.net
On one hand, the emergence of cutting-edge technologies like AI, Cloud Computing, and
IoT holds immense potential in Smart Farming and Precision Agriculture. These …

Video data offloading techniques in Mobile Edge Computing: A survey

H Ma, B Ji, H Wu, L Xing - Physical Communication, 2024 - Elsevier
Driven by the Quality of Experience (QoE) demands for video analysis applications within
contexts such as smart cities, Industrial Internet of Things (IoT), and Internet of Vehicles …

Multi-objective deep reinforcement learning for computation offloading in UAV-assisted multi-access edge computing

X Liu, ZY Chai, YL Li, YY Cheng, Y Zeng - Information Sciences, 2023 - Elsevier
Unmanned aerial vehicle-assisted multi-access edge computing (UAV-MEC) plays an
important role in some complex environments such as mountainous and disaster areas …

In-network placement of delay-constrained computing tasks in a softwarized intelligent edge

G Lia, M Amadeo, G Ruggeri, C Campolo, A Molinaro… - Computer Networks, 2022 - Elsevier
Abstract Future sixth-generation (6G) networks will rely on the synergies of edge computing
and machine learning (ML) to build an intelligent edge, where communication and …

Game-theoretic robotic offloading via multi-agent learning for agricultural applications in heterogeneous networks

A Zhu, Z Zeng, S Guo, H Lu, M Ma, Z Zhou - Computers and Electronics in …, 2023 - Elsevier
Intelligent robotics, as a frontier field of widespread attention, is increasingly applied to
realize cyber-physical-social system (CPSS). Taking Agriculture 4.0 as one use case, using …

Joint task offloading, resource allocation, and load-balancing optimization in multi-UAV-aided MEC systems

IA Elgendy, S Meshoul, M Hammad - Applied Sciences, 2023 - mdpi.com
Due to their limited computation capabilities and battery life, Internet of Things (IoT) networks
face significant challenges in executing delay-sensitive and computation-intensive mobile …

Delay-aware cooperative task offloading for multi-UAV enabled edge-cloud computing

Z Bai, Y Lin, Y Cao, W Wang - IEEE Transactions on Mobile …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) has received tremendous attention in the area of edge
computing due to its flexible deployment and wide coverage accessibility. In weak …

UAV-assisted multi-tier computing framework for IoT networks

A Tout, S Sharafeddine, N Abbas - Ad Hoc Networks, 2023 - Elsevier
Next-generation wireless networks are expected to support a massive amount of Internet of
Things (IoT) devices in delivering a wide range of novel resource-intensive applications. IoT …

A Contract-Theory-Based Incentive Mechanism for UAV-Enabled VR-Based Services in 5G and Beyond

TN Dang, A Manzoor, YK Tun… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The proliferation of novel infotainment services, such as virtual reality (VR)-based services,
has fundamentally changed the existing mobile networks. These bandwidth-hungry services …

Reinforcement learning from delayed observations via world models

A Karamzade, K Kim, M Kalsi, R Fox - arXiv preprint arXiv:2403.12309, 2024 - arxiv.org
In standard Reinforcement Learning settings, agents typically assume immediate feedback
about the effects of their actions after taking them. However, in practice, this assumption may …