A survey on machine learning-based performance improvement of wireless networks: PHY, MAC and network layer
This paper presents a systematic and comprehensive survey that reviews the latest research
efforts focused on machine learning (ML) based performance improvement of wireless …
efforts focused on machine learning (ML) based performance improvement of wireless …
Machine learning for wireless link quality estimation: A survey
Since the emergence of wireless communication networks, a plethora of research papers
focus their attention on the quality aspects of wireless links. The analysis of the rich body of …
focus their attention on the quality aspects of wireless links. The analysis of the rich body of …
Data-driven link quality prediction using link features
T Liu, AE Cerpa - ACM Transactions on Sensor Networks (TOSN), 2014 - dl.acm.org
As an integral part of reliable communication in wireless networks, effective link estimation is
essential for routing protocols. However, due to the dynamic nature of wireless channels …
essential for routing protocols. However, due to the dynamic nature of wireless channels …
Opportunistic routing in low duty-cycle wireless sensor networks
Opportunistic routing is widely known to have substantially better performance than unicast
routing in wireless networks with lossy links. However, wireless sensor networks are usually …
routing in wireless networks with lossy links. However, wireless sensor networks are usually …
[HTML][HTML] Link quality prediction in wireless community networks using deep recurrent neural networks
Wireless community networks (WCNs) are large, heterogeneous, dynamic, and
decentralized networks. Such complex characteristics raise different challenges, such as the …
decentralized networks. Such complex characteristics raise different challenges, such as the …
L2: Lazy forwarding in low duty cycle wireless sensor networks
Energy-constrained wireless sensor networks are duty-cycled, relaying on multi-hop
forwarding to collect data packets. A forwarding scheme generally involves three design …
forwarding to collect data packets. A forwarding scheme generally involves three design …
Towards dependable IoT via interface selection: predicting packet delivery at the end node in LoRaWAN networks
M Guerrero, C Cano, X Vilajosana, P Thubert - Sensors, 2021 - mdpi.com
Estimating channel conditions to predict packet delivery can be exploited as a powerful tool
to ensure wireless networks dependability. In this article we explore the practical application …
to ensure wireless networks dependability. In this article we explore the practical application …
On-line learning and prediction of link quality in wireless sensor networks
D Marinca, P Minet - 2014 IEEE Global Communications …, 2014 - ieeexplore.ieee.org
Communication between sensor nodes in a Wireless Sensor Network (WSN) faces energy
and bandwidth constraints. The dynamic behavior over time of the wireless channels makes …
and bandwidth constraints. The dynamic behavior over time of the wireless channels makes …
On the interest of opportunistic anycast scheduling for wireless low power lossy networks
T Huynh, F Theoleyre, WJ Hwang - Computer Communications, 2017 - Elsevier
Abstract Low-Power and Lossy Networks (LLNs) aim at integrating smart objects into the
Internet of Things. ieee 802.15. 4-TSCH is currently a promising standard for the link layer: it …
Internet of Things. ieee 802.15. 4-TSCH is currently a promising standard for the link layer: it …
Bandwidth prediction for 5G cellular networks
Effective bandwidth prediction in the fifth-generation (5G) cellular networks is essential for
bandwidth-consuming applications, such as virtual reality and holographic video streaming …
bandwidth-consuming applications, such as virtual reality and holographic video streaming …