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
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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
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Dissertation
Unlocking wireless sensing potential in Wi-Fi and IoT networks
TL;DR: This thesis addresses the problem of leveraging commercial off-the-shelf wireless networks for sensing applications by introducing MIMO capabilities to LoRa LPWAN systems that provide accurate localization with limited startup costs and proposing a new data-driven solution for passive localization to address the limitations of model-based localization techniques.
Proceedings ArticleDOI
Multiple Participants’ Discrete Activity Recognition in a Well-Controlled Environment Using Universal Software Radio Peripheral Wireless Sensing
Umer Saeed,Syed Yaseen Shah,Syed Aziz Shah,Haipeng Liu,Abdullah Alotaibi,Turke Althobaiti,Naeem Ramzan,Sana Ullah Jan,Jawad Ahmad,Qammer H. Abbasi +9 more
TL;DR: The presented system has the ability to fulfil prospective health activity monitoring demands and is a viable solution towards well-being tracking.
Journal ArticleDOI
DFC: Device‐free human counting through WiFi fine‐grained subcarrier information
TL;DR: A device-free human counting algorithm that uses fine-grained subcarrier information from WiFi devices, called channel state information (CSI), to count the number of people in indoor environments with human mobility is proposed.
Journal ArticleDOI
Online Spatiotemporal Modeling for Robust and Lightweight Device-Free Localization in Nonstationary Environments
TL;DR: In this article , a novel multidomain collaborative extreme learning machine (MC-ELM)-based DFL framework is proposed, where the whole environment is first divided into several subdomains depending on the distributions of the collected data using clustering algorithm, and a corresponding number of local DFL models are then built to represent these sub-domains separately.
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Enhanced Geometric Filtering Method Based Device-Free Localization With UWB Wireless Network
TL;DR: In this paper, the authors explore the feasibility of DFL based on time-of-flight measurements of ultra-wideband signals, and propose a fusion method for simultaneous localization of multiple targets based on the evaluation results.
References
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Predictable 802.11 packet delivery from wireless channel measurements
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