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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Journal ArticleDOI
Full Respiration Rate Monitoring Exploiting Doppler Information with Commodity Wi-Fi Devices.
Chendan Dou,Hao Huan +1 more
TL;DR: Wang et al. as discussed by the authors used the variation of the Doppler spectral energy extracted from the channel state information (CSI) collected by Wi-Fi devices to track the chest displacement induced by respiration.
Proceedings ArticleDOI
A Full Human Respiration Detection System Using Commodity Wi-Fi Devices
TL;DR: This work will demonstrate a human respiration detection system which enables full location coverage with no blind spot, and shows its potential for real-world deployment.
Journal ArticleDOI
Context Recognition by Wireless Sensing: A Comprehensive Survey
Akira Uchiyama,Akira Uchiyama,Shunsuke Saruwatari,Takuya Maekawa,Kazuya Ohara,Teruo Higashino +5 more
Journal ArticleDOI
Utilizing the Virtual Triangulation for Wireless Indoor Localization of Mobile Devices with Channel State Information
TL;DR: A virtual triangulation utilization to estimate the length of Line of Sight (LoS) signal out of non LoS on receiving multipath signals from any dimension and the error is utilized to provide a basement for more precise localization of an RF device.
Proceedings ArticleDOI
Object Instrusion Detection on Railway Track Using Commodity Wireless Network
Jin Xie,Shuo Li,Yun Fei Ma +2 more
TL;DR: This is the first time to analyze CSI of wireless signals in railway operating environment and realize obstacle intrusion detection, which is also a research direction to be developed and has great research value.
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.
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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).
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802.11 with multiple antennas for dummies
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