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
Citations
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Multiclass moisture classification in woodchips using IIoT Wi-Fi and machine learning techniques
Kerul Suthar,Q. Peter He +1 more
TL;DR: A non-destructive, economic, and robust woodchip MC sensing approach utilizing channel state information (CSI) from industrial Internet-of-Things (IIoT) based Wi-Fi is proposed and demonstrated.
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Online Spatiotemporal Modeling for Robust and Lightweight Device-Free Localization in Nonstationary Environments
TL;DR: In this article , a 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 a clustering algorithm.
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Robust passive static human detection with commodity WiFi devices
TL;DR: This paper proposes a robust respiration-rate-estimation-based passive static human detection system, R-PSHD, which resorts to the more sensitive phase information for minute respiration detection and exploits phase difference between antennas for feature extraction.
Proceedings ArticleDOI
Location-Free CSI Based Activity Recognition With Angle Difference of Arrival
TL;DR: A location-free activity recognition system which leverages fine-grained channel state information (CSI) to recognize same activities regardless of different locations and background is proposed.
Proceedings ArticleDOI
Fall Detection using Wi-Fi Signals and Threshold-Based Activity Segmentation
Robert M. Keenan,Le-Nam Tran +1 more
TL;DR: In this article, a low-cost, accurate and non-invasive wireless fall detection system using commercial off-the-shelf (COTS) 802.11n WLAN network interface cards (NICs) is presented.
References
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Proceedings ArticleDOI
Predictable 802.11 packet delivery from wireless channel measurements
TL;DR: It is shown that, for the first time, wireless packet delivery can be accurately predicted for commodity 802.11 NICs from only the channel measurements that they provide, and the rate prediction is as good as the best rate adaptation algorithms for 802.
Journal ArticleDOI
ACM SIGCOMM computer communication review
TL;DR: The Internet is going mobile and wireless, perhaps quite soon, with a number of diverse technologies leading the charge, including, 3G cellular networks based on CDMA technology, a wide variety of what is deemed 2.5G cellular technologies (e.g., EDGE, GPRS and HDR), and IEEE 802.11 wireless local area networks (WLANs).
Journal ArticleDOI
802.11 with multiple antennas for dummies
TL;DR: This tutorial provides a brief introduction to multiple antenna techniques, and describes the two main classes of those techniques, spatial diversity and spatial multiplexing.