Predictive Wi-Fi Network Selection: Enhancing User Experience through a Machine Learning-based Approach

V Akash, SM Howale, AJ Gupta… - 2023 4th IEEE …, 2023 - ieeexplore.ieee.org
With the increasing use of Wi-Fi in our devices at home and in offices, etc. it's imperative to
connect to an AP which provides seamless and smooth performance. This research paper …

[PDF][PDF] Contribution to the development of Wi-Fi networks through machine learning based prediction and classification techniques

SS Shaabanzadeh, J Sánchez-González - grcm.tsc.upc.edu
The growing number of Wi-Fi users and the emergence of bandwidth-intensive services
have necessitated an increase in Access Point (AP) density, resulting in more complex …

On the Use of Artificial Neural Networks to Predict the Quality of Wi-Fi Links

AS Colletto, S Scanzio, G Formis, G Cena - IEEE Access, 2023 - ieeexplore.ieee.org
One of the aspects that mainly characterize wireless networks is their apparent
unpredictability. Although several attempts were made in the past years to define for them …

Stickyless: An intelligent method for solving sticky client problem in wi-fi networks

KK Thangadorai, KM Sivalingam… - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
In IEEE 802.11-based access networks (Wi-Fi), the client remains connected to a far-poor
Access Point (AP) rather than switching to a near-better AP. This scenario is termed a sticky …

A spatio-temporal prediction methodology based on deep learning and real Wi-Fi measurements

SS Shaabanzadeh, J Sánchez-González - Computer Networks, 2024 - Elsevier
The rapid development of Wi-Fi technologies in recent years has caused a significant
increase in the traffic usage. Hence, knowledge obtained from Wi-Fi network measurements …

Context-aware prediction of access points demand in Wi-Fi networks

D Rodriguez-Lozano, JA Gomez-Pulido… - Computer Networks, 2017 - Elsevier
We present a methodology based on matrix factorization and gradient descent to predict the
number of sessions established in the access points of a Wi-Fi network according to the …

A Spatio-temporal Prediction Methodology Based on Deep Learning and Real Wi-Fi Measurements

S Soheila Shaabanzadeh… - arXiv e …, 2024 - ui.adsabs.harvard.edu
The rapid development of Wi-Fi technologies in recent years has caused a significant
increase in the traffic usage. Hence, knowledge obtained from Wi-Fi network measurements …

[PDF][PDF] Intelligent Channel Change System for Wi-Fi Users

JMM Governo - 2023 - baes.uc.pt
Wireless Networks have become an indispensable part of society. Wi-Fi is the most common
type of Wireless Network and can be found in every home. In high-density areas, where …

Reinforcement learning-based Wi-Fi contention window optimization

SJ Sheila de Cássia, MA Ouameur… - Journal of …, 2023 - jcis.emnuvens.com.br
The collision avoidance mechanism adopted by the IEEE 802.11 standard is not optimal.
The mechanism employs a binary exponential backoff (BEB) algorithm in the medium …

A fuzzy logic based approach for network selection in WLAN/3G heterogeneous network

N Abbas, JJ Saade - 2015 12th annual IEEE consumer …, 2015 - ieeexplore.ieee.org
To meet the huge traffic growth, heterogeneous networks composed of wireless local area
networks (WLAN) and cellular networks are used to provide higher capacity and coverage …