Wireless Networking
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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This dataset is shared as part of the paper Towards scalable and low-cost WiFi sensing: preventing animal-vehicle collisions on rural roads, submitted to the IEEE Internet of Things Journal (IoT-J). It contains Wi-Fi Channel State Information (CSI) data from roadway crossings of small and large animals, persons and vehicles in rural environments.
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This MATLAB script implements a simulation framework for an IRS-assisted IoT network with multiple nodes in a 3D environment. The code integrates a number of advanced wireless features, including elevation-aware IRS phase alignment, dynamic spectrum sensing for channel allocation, inter-node interference modeling, and Doppler effects from node mobility. Operating at microwaves with configurable elements, the system achieves realistic performance metrics through iterative optimization.
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The JU-Impact Radiomap Dataset is a comprehensive dataset designed for research and development in indoor positioning systems. It comprises 5431 instances characterized by readings from 105 static Wi-Fi Access Points (APs) and spans 152 distinct virtual grids. Each virtual grid represents a 1x1 square meter area, derived by dividing a physical floor of a university building into reference coordinate points (x, y). The dataset was collected over a period of 21 days using four mobile devices: Samsung Galaxy Tab, Moto G, Redmi Note 4, and Google Pixel.
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106 Views
Network telescopes collect and record unsolicited Internet-wide traffic destined to a routed but unused address space usually referred to as “Darknet” or “blackhole” address space. Among the largest network telescopes in the US, Merit Network operates one that receives unsolicited internet traffic on around 475k unused IP addresses. On an average day, the network telescope receives approximately 41.5k packets per second and around 17M bits per second. Description of the attached dataset:
1. Data Source:
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The 5G cellular technology has introduced advanced radio communication protocols and new frequency bands and enabled faster data exchange. These improvements increase network capacity and establish a foundation for high-bandwidth, low-latency services, helping the development of applications like the Internet of Things (IoT). However, information security poses significant challenges, particularly concerning attacks such as Fake Base Stations (FBS) and Stream Control Transmission Protocol (SCTP) Session Hijacking.
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232 Views