Mutual Interference-Aware Throughput Enhancement in Massive IoT: A Graph Reinforcement Learning Framework

F Yang, C Yang, J Huang, O Alfarraj… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
As the number of devices increases dramatically in the Internet of Things (IoT), features of
dense deployment of massive devices generate mutual interference in communication …

AoI-Aware Resource Allocation With Interference Avoidance for Ultra-Dense Industrial Internet of Things Networks

J Huang, T Yu, F Yang, S Zhang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In an ultra-dense Industrial Internet of Things (UDI-IoT) network with device-to-device (D2D)
communication technology applied, interaction among a large number of industrial Internet …

Hypergraph-Aided Task-Resource Matching for Maximizing Value of Task Completion in Collaborative IoT Systems

B Zhu, X Wang - IEEE Transactions on Mobile Computing, 2024 - ieeexplore.ieee.org
With the growing scale and intrinsic heterogeneity of Internet of Things (IoT) systems,
distributed device collaboration becomes essential for effective task completion by …

An Energy Harvesting Algorithm for UAV-Assisted TinyML Consumer Electronic in Low-Power IoT Networks

J Huang, T Yu, C Chakraborty, F Yang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) play a crucial role in remote environmental applications
of the Low-Power Internet of Things (IoT) network. However, the interaction between a large …

INTEND: Intent-Based Data Operation in the Computing Continuum

D Firmani, F Leotta, JG Mathew, J Rossi… - CEUR WORKSHOP …, 2024 - iris.uniroma1.it
Abstract The European Commission (EC) Digital Decade strategy to gain by 2030 autonomy
in the digital economy requires more and more data to be processed in the Cloud-Edge-IoT …