A survey on machine learning-based performance improvement of wireless networks: PHY, MAC and network layer

M Kulin, T Kazaz, E De Poorter, I Moerman - Electronics, 2021 - mdpi.com
This paper presents a systematic and comprehensive survey that reviews the latest research
efforts focused on machine learning (ML) based performance improvement of wireless …

Neural network based instant parameter prediction for wireless sensor network optimization models

A Akbas, HU Yildiz, AM Ozbayoglu, B Tavli - Wireless Networks, 2019 - Springer
Optimal operation configuration of a Wireless Sensor Network (WSN) can be determined by
utilizing exact mathematical programming techniques such as Mixed Integer Programming …

Multi-parametric analysis of reliability and energy consumption in IoT: A deep learning approach

M Ateeq, F Ishmanov, MK Afzal, M Naeem - Sensors, 2019 - mdpi.com
Small-to-medium scale smart buildings are an important part of the Internet of Things (IoT).
Wireless Sensor Networks (WSNs) are the major enabler for smart control in such …

Predicting delay in IoT using deep learning: A multiparametric approach

M Ateeq, F Ishmanov, MK Afzal, M Naeem - IEEE Access, 2019 - ieeexplore.ieee.org
The proliferation of the Internet of Things (IoT) requires to accommodate diverse applications
with stringent performance requirements. Delay is one of the key metrics in the IoT …

Link quality estimation method for wireless sensor networks based on stacked autoencoder

X Luo, L Liu, J Shu, M Al-Kali - IEEE Access, 2019 - ieeexplore.ieee.org
In wireless sensor networks, effective link quality estimation is the basis of topology
management and routing control. Effective link quality estimation can guarantee the …

An investigation on the impact of machine learning in wireless sensor networks and its application specific challenges

K Praghash, T Karthikeyan, KS Kumar, R Sekar… - … 2020: Proceedings of …, 2021 - Springer
Abstract The importance of Machine Learning (ML) in advanced system technologies are
proven in literature. This chapter investigates the role of ML in Wireless Sensor Networks …

Neural Network Based Forecasting Technique for Wireless Sensor Networks

P Chaturvedi, AK Daniel - Neural Processing Letters, 2023 - Springer
The diversified and huge applicability of sensor networks has attracted the researchers in
this field. The nodes in the sensor networks are distinguished by the scarce resources; …

Innovative techniques to robust wireless sensors networks

M Al-Mazaideh - 2021 - search.proquest.com
Abstract Recently, Wireless Sensor Networks (WSNs)-as a subset of IoT systems-have
become the backbone of several applications targeting different aspects of data acquisition …

Minimizing collision of fading channel using machine learning

MH ALhaddad, S Sati… - 2021 IEEE Microwave …, 2021 - ieeexplore.ieee.org
Energy consumption is considered the main challenge of MAC protocol design. Especially
when MAC protocol is employed in an environment of limited energy resources as a …

[PDF][PDF] A predictive maintenance system for wireless sensor networks: a machine learning approach

M Almazaideh, J Levendovszky - Indonesian Journal of Electrical …, 2022 - academia.edu
Predictive maintenance system (PdM) is a new concept that helps system operators
evaluate the current status of their systems, and it also assists in predicting the future quality …