Title :
Demo abstract: Histogram distance-based radio tomographic localization
Author :
Yang Zhao ; Patwari, Neal
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Utah, Salt Lake City, UT, USA
Abstract :
We present an interactive demonstration of histogram distance-based radio tomographic imaging (HD-RTI), a device-free localization (DFL) system that uses measurements of received signal strength (RSS) on static links in a wireless network to estimate the locations of people who do not participate in the system by wearing any radio device in the deployment area. Compared to prior methods of RSS-based DFL, using a histogram difference metric is a very accurate method to quantify the change in RSS on the link compared to historical metrics. The new method is remarkably accurate, and works with lower node densities than prior methods.
Keywords :
image sensors; radio direction-finding; radio equipment; radio networks; tomography; DFL system; HD-RTI; RSS measurement; device-free localization system; histogram difference metric; histogram distance-based radio tomographic imaging; histogram distance-based radio tomographic localization; location estimation; radio device; received signal strength measurement; wireless network; Area measurement; Calibration; Histograms; Motion measurement; Tomography; Localization; Sensor networks;
Conference_Titel :
Information Processing in Sensor Networks (IPSN), 2012 ACM/IEEE 11th International Conference on
Conference_Location :
Beijing
DOI :
10.1109/IPSN.2012.6920930
