Securing wireless communications of the internet of things from the physical layer, an overview

J Zhang, TQ Duong, R Woods, A Marshall - Entropy, 2017 - mdpi.com
The security of the Internet of Things (IoT) is receiving considerable interest as the low
power constraints and complexity features of many IoT devices are limiting the use of …

The CityLab testbed—Large-scale multi-technology wireless experimentation in a city environment: Neural network-based interference prediction in a smart city

J Struye, B Braem, S Latré… - IEEE INFOCOM 2018 …, 2018 - ieeexplore.ieee.org
Smart cities form an important new paradigm for future cities, where technology assists
people, local economy and government. For smart cities to mature, it is crucial to enable …

CQUIC: Cross-layer QUIC for next generation mobile networks

G Sinha, MR Kanagarathinam… - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
Requirements for Next Generation Mobile Networks (NGMN) include low latency, higher
throughput, scalability, and energy efficiency. As 5G millimeter wave (mmWave) band is …

[HTML][HTML] A Machine-Learning-Based Access Point Selection Strategy for Automated Guided Vehicles in Smart Factories

F Ohori, H Yamaguchi, S Itaya, T Matsumura - Sensors, 2023 - mdpi.com
Automated Guided Vehicles (AGVs) are becoming popular at many manufacturing facilities.
To ensure mobility and flexibility, AGVs are often controlled by wireless communication …

RECODAN: An efficient redundancy coding-based data transmission scheme for wireless sensor networks

R Ye, A Boukerche, H Wang, X Zhou, B Yan - Computer Networks, 2016 - Elsevier
Data transmission reliability is under serious consideration for use in wireless sensor
networks (WSNs), and retransmission is the most common method for ensuring data …

Machine learning techniques for received signal strength indicator prediction

R Azoulay, E Edery, Y Haddad… - Intelligent Data …, 2023 - journals.sagepub.com
The advances made in wireless communication technology have led to efforts to improve the
quality of reception, prevent poor connections and avoid disconnections between wireless …

Dynamic programming and a verification theorem for the recursive stochastic control problem of jump-diffusion models with random coefficients

J Moon, T Başar - IEEE Transactions on Automatic Control, 2021 - ieeexplore.ieee.org
In this article, we consider the stochastic optimal control problem for (forward) stochastic
differential equations (SDEs) with jump diffusions and random coefficients under a recursive …

Adaptive estimation of WiFi RSSI and its impact over advanced wireless services

JA Santana, E Macías, Á Suárez, D Marrero… - Mobile Networks and …, 2017 - Springer
RSSI is a reference magnitude of radio signal strength received by a wireless terminal.
Traditionally, it has been used to implement wireless services like scanning in handoff. But …

[HTML][HTML] NN-based 8FSK demodulator for the covert channel

K Grzesiak, Z Piotrowski - Sensors, 2022 - mdpi.com
In this article, a superposition-based covert channel and its demodulator were proposed and
examined. As a covert waveform, an 8FSK modulation was selected. The impact of the …

E3TX: an energy-efficient expected transmission count routing decision strategy for wireless sensor networks

R Ye, A Boukerche, H Wang, X Zhou, B Yan - Wireless Networks, 2018 - Springer
The routing protocol is one of the most important aspects of the wireless sensor network,
determining network connectivity, delay, energy balancing, reliability and other factors …