Title :
Radio Tomographic Imaging with Wireless Networks
Author :
Wilson, Joey ; Patwari, Neal
Author_Institution :
Univ. of Utah(UT), Salt Lake City, UT, USA
fDate :
5/1/2010 12:00:00 AM
Abstract :
Radio Tomographic Imaging (RTI) is an emerging technology for imaging the attenuation caused by physical objects in wireless networks. This paper presents a linear model for using received signal strength (RSS) measurements to obtain images of moving objects. Noise models are investigated based on real measurements of a deployed RTI system. Mean-squared error (MSE) bounds on image accuracy are derived, which are used to calculate the accuracy of an RTI system for a given node geometry. The ill-posedness of RTI is discussed, and Tikhonov regularization is used to derive an image estimator. Experimental results of an RTI experiment with 28 nodes deployed around a 441 square foot area are presented.
Keywords :
optical tomography; wireless sensor networks; RTI system; Tikhonov regularization; image accuracy; image estimator; linear model; mean-squared error; node geometry; radio tomographic imaging; signal strength; wireless networks; Wireless; applications.; inverse filtering; linear systems; sensor networks;
Journal_Title :
Mobile Computing, IEEE Transactions on
DOI :
10.1109/TMC.2009.174
