Multi-objective reinforcement learning for energy harvesting wireless sensor nodes

S Shresthamali, M Kondo… - 2021 IEEE 14th …, 2021 - ieeexplore.ieee.org
Modern Energy Harvesting Wireless Sensor Nodes (EHWSNs) need to intelligently allocate
their limited and unreliable energy budget among multiple tasks to ensure long-term …

CrossBal: Data and Control Plane Cooperation for Efficient and Scalable Network Load Balancing

BL Coelho, AE Schaeffer-Filho - 2023 19th International …, 2023 - ieeexplore.ieee.org
Load balancing network traffic through multiple shortest-paths has become common practice
to efficiently utilize the network infrastructure. Despite widespread adoption, Equal-Cost …

On control and data plane programmability for data-driven networking

A Sacco, F Esposito, G Marchetto - 2021 IEEE 22nd …, 2021 - ieeexplore.ieee.org
The soaring complexity of networks has led to more and more complex methods to manage
and orchestrate efficiently the multitude of network environments. Several solutions exist …

Channel-Adaptive Dynamic Neural Networks for Low-Complexity Distributed Signal Awareness

M Abdi, J Ashdown, K Turck… - MILCOM 2023-2023 …, 2023 - ieeexplore.ieee.org
Deep neural networks (DNNs) are being increasingly used to achieve signal awareness.
Usually, DNNs have been entirely executed at the mobile device. However, as DNNs …

Identification of Stealthy Hardware Trojans through On-Chip Temperature Sensing and an Autoencoder-Based Machine Learning Algorithm

T Gourousis, Z Zhang, M Yan, M Zhang… - 2023 IEEE 66th …, 2023 - ieeexplore.ieee.org
This paper presents an anomaly detection approach with non-invasive on-chip temperature
sensing for hardware Trojan detection, which is coupled with a proposed anomaly detection …

A model for traffic forwarding through service function chaining using deep reinforcement learning techniques

SR de Araújo Júnior, RAC Bianchi - Anais do XVIII Encontro Nacional …, 2021 - sol.sbc.org.br
The development of new communication networks to offer innovative services has increased
the volume of data. With the introduction of Deep Reinforcement Learning and Service …

Optimization Algorithm for Multipath Transmission of Distance Education Resources Using Reinforcement Learning

W Yajun, Z Liang - Mobile Information Systems, 2022 - Wiley Online Library
Distance education resources are the essential components of modern distance learning
systems, and the development of high‐quality resources is a potent assurance of modern …

Latency Reduction in mmWave VLSI Circuits through Gravitational Learning

KG Shanthi, MS Kavitha, P Rajeswari… - … on Advances in …, 2023 - ieeexplore.ieee.org
This research focuses on addressing latency issues in millimeter-wave (mmWave) Very
Large-Scale Integration (VLSI) circuits by introducing a novel approach called Gravitational …

[HTML][HTML] The magazine archive includes every article published in Communications of the ACM for over the past 50 years.

F Restuccia, T Melodia - Communications of the ACM, 2022 - cacm.acm.org
Today's wireless technologies are largely based on inflexible designs, which make them
inefficient and prone to a variety of wireless attacks. To address this key issue, wireless …

Toward Polymorphic Internet of Things Receivers Through Real-Time Waveform-Level Deep Learning

F Restuccia, T Melodia - GetMobile: Mobile Computing and …, 2022 - dl.acm.org
Wireless systems such as the Internet of Things (IoT) are changing the way we interact with
the cyber and the physical world. As IoT systems become more and more pervasive, it is …