Wireless Networking
Recently, large-scale and mega low earth orbit (LEO) constellations have become the primary development trends in satellite networks.Considering the complex topology and limited processing capabilities of LEO satellites, traditional distributed routing algorithms with significant flooding overhead are not suitable for the era of mega constellations. In this context, centralized routing technology based on Software Defined Network (SDN) architecture has been widely applied.
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An In-depth Analysis of Thermal Management Systems for Wireless Charging in Electric Vehicles
1. Introduction
Wireless charging technology is revolutionizing electric vehicles (EVs) by offering a convenient alternative to traditional charging. This technology enhances user experience and supports the growth of autonomous EV fleets. As electrification of transportation accelerates, effective thermal management becomes crucial to address heat generation during inductive power transfer, ensuring system reliability and longevity.
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This dataset includes ALVR statistics (.json) and Wireshark packet traces (.csv) for a wide range of single-user and multi-user PCVR configurations. Our configurations are based on ALVR and SteamVR. For each user, we stream a video game from a wired server (desktop or laptop) to a wireless head-mounted display (Meta Quest 2 or 3) over Wi-Fi. In each case, the data was captured on the server.
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Self-Aligning IPT Pads for Efficient High-Power Wireless Charging for EV
Introduction
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DALHOUSIE NIMS LAB ATTACK IOT DATASET 2025-1 dataset comprises of four prevalent types attacks, namely Portscan, Slowloris, Synflood, and Vulnerability Scan, on nine distinct Internet of Things (IoT) devices. These attacks are very common on the IoT eco-systems because they often serve as precursors to more sophisticated attack vectors. By analyzing attack vector traffic characteristics and IoT device responses, our dataset will aid to shed light on IoT eco-system vulnerabilities.
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An extensive amount of carefully calibrated signal strength radio measurements at mmWave frequencies (28 GHz and 60 GHz) was performed across the 8089 m² seating area of Sausalito Stadium in Viña del Mar, Chile. Measurements were conducted with the seating area empty to ensure a static scenario. To properly characterize and represent the complete seating area of a typical stadium, 100 locations were carefully selected for measuring received power (mobile user locations, MU), and two different locations were chosen for the base station (BS).
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This dataset supports the BWiFi framework, an intelligent method to identify optimal Wi-Fi zones in mesh networks. The home dataset, collected over one month across 36 zones, and the office dataset, collected over two months across 40 zones, systematically measure Wi-Fi quality and application performance metrics. Using clustering techniques and heuristic analysis, BWiFi evaluates zone performance to recommend optimal connectivity areas.
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The dataset comprises the spectral density peak power levels from a spectrum survey in a rural area of Belgium. For the spectrum measurements we consider 21 locations of a rural scenario in Nevele, Belgium. This is a mostly flat area with detached isolated houses and farms. We defined a grid of different locations for measuring the peak signal levels [dBm] across the spectrum between 170 MHz and 1000 MHz, during a period of 0.5 h. The measurements across the different locations are not synchronized and, therefore not correlated in the time domain.
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The performance analysis of goodput measurements, underscores the superior transmission capabilities of MP$^2$-QUIC. Initially, the solution maximizes transmission rates to approach the optimal PSNR before rapidly stabilizing at a rate of 2766.56 Kbps. By comparison, Rand-SNC, Bats-SNC, and WindWrap-SNC stabilize at goodput rates of 1209.61 Kbps, 2260.84 Kbps, and 2317.65 Kbps, respectively. Throughout the simulation, MP$^2$-QUIC maintains an average goodput of 3071.62 Kbps, reflecting improvements of 2.29-fold over Rand-SNC, 1.25-fold over Bats-SNC, and 1.20-fold over WindWrap-SNC.
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Recently, the Wi-Fi community has focused on improving privacy measures, beginning with the introduction of Randomized and Changing MAC addresses (RCM) to mitigate privacy concerns during Pre-Association Discovery (PAD) mechanisms. A significant advancement has been the establishment of the IEEE 802.11bi Task Group (TG), known as Enhanced Data Privacy (EDP), which targets various aspects of privacy. Current EDP efforts concentrate on developing frame anonymization techniques to mitigate the issue of presence monitoring of associated STAs.
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