Wi-Fi and Bluetooth are two wireless technologies, available in every smart-phone, tablet,
and laptop. Wi-Fi Access Points (APs) and Bluetooth beacons are deployed in most indoor …

Spectrum occupancy prediction is a key enabling technology to facilitate a proactive
resource allocation for dynamic spectrum management systems. This work focuses on the …

Spectrum prediction has recently gained a lot of attention due to its extensive applications in
cognitive radio networks. However, most of the related research assumed that the spectrum …

With the continuous development of the Internet of things (IoT) technology, the air-to-ground
(ATG) system has attracted more and more attention. The system will effectively increase …

Due to frequency hopping nature of Bluetooth, sniffing Bluetooth traffic with low-cost devices
is a challenging problem. To this end, a state-of-the-art low-cost sniffing system employing …

In the 2.4 GHz unlicensed spectrum, the coexistence of WiFi, Bluetooth and IEEE 802.15. 4
devices generates increased channel contention. Notably, low-power wireless networks …

By employing a publicly available WiFi dataset, we study the effect of variables in this
dataset, including link speed, received signal strength, round-trip time (RTT), and number of …

This paper presents the preliminary results on the use of Machine Learning (ML) for the
estimation of the electric-field exposure in indoor scenarios with multiple WiFi sources …

In this work, we propose an artificial intelligence (AI) based channel quality assessment
algorithm for Bluetooth adaptive frequency hopping (AFH) to avoid interference between …

In an IoT system, the response time of edge devices is calculated during the design time.
These edge devices continuously provide data streams to ensure the smooth execution of a …