Journal ArticleDOI
Tool release: gathering 802.11n traces with channel state information
Daniel Halperin,Wenjun Hu,Anmol Sheth,David Wetherall +3 more
- Vol. 41, Iss: 1, pp 53-53
TLDR
The measurement setup comprises the customized versions of Intel's close-source firmware and open-source iwlwifi wireless driver, userspace tools to enable these measurements, access point functionality for controlling both ends of the link, and Matlab scripts for data analysis.Abstract:
We are pleased to announce the release of a tool that records detailed measurements of the wireless channel along with received 802.11 packet traces. It runs on a commodity 802.11n NIC, and records Channel State Information (CSI) based on the 802.11 standard. Unlike Receive Signal Strength Indicator (RSSI) values, which merely capture the total power received at the listener, the CSI contains information about the channel between sender and receiver at the level of individual data subcarriers, for each pair of transmit and receive antennas.Our toolkit uses the Intel WiFi Link 5300 wireless NIC with 3 antennas. It works on up-to-date Linux operating systems: in our testbed we use Ubuntu 10.04 LTS with the 2.6.36 kernel. The measurement setup comprises our customized versions of Intel's close-source firmware and open-source iwlwifi wireless driver, userspace tools to enable these measurements, access point functionality for controlling both ends of the link, and Matlab (or Octave) scripts for data analysis. We are releasing the binary of the modified firmware, and the source code to all the other components.read more
Citations
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Long Short-Term Indoor Positioning System via Evolving Knowledge Transfer
TL;DR: A Long Short-Term indoor Positioning (LSTP) framework that enables adaptation at different time scales with low human-effort, and thus extends the effectiveness of existing fingerprinting techniques for a more generalized environment is proposed.
CSI-Based Joint Location and Activity Monitoring for COVID-19 Quarantine Environments
TL;DR: The proposed method utilizes the Channel State Information of the wireless signals recorded through a low-cost device for estimating the location and activity of the person under quarantine and results outperform state-of-the-art machine and deep learning methods, and localization results are comparable with the existing methods.
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Providing quality-of-service for frequency-aware Wi-Fi using OFDM-based variable-length Bloom filters
TL;DR: This paper presents a new Wi-Fi protocol called QoS-Fi, that provides QoS for the mobile users in the frequency awareWi-Fi network, and is the first work that employs QoS at the frequency domain for Wi-fi networks.
Journal ArticleDOI
MCSM-Wri: A Small-Scale Motion RecognitionMethod Using WiFi Based on Multi-ScaleConvolutional Neural Network.
TL;DR: MCSM-Wri is proposed, a device-free handwritten letter recognition system using WiFi, which leverages channel state information (CSI) values extracted from WiFi packets to recognize handwritten letters, including uppercase letters and lowercase letters, and a ten-layers convolutional neural network (CNN) to solve the problem of the poor recognition due to small impact of small-scale actions on environmental changes.
Proceedings ArticleDOI
Passive WiFi CSI Sensing Based Machine Learning Framework for COVID-Safe Occupancy Monitoring
TL;DR: In this article, a low-cost and non-intrusive method to monitor social distancing within a given space, using Channel State Information (CSI) from passive WiFi sensing, is described.
References
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