eprintid: 394
rev_number: 5
eprint_status: archive
userid: 5
dir: disk0/00/00/03/94
datestamp: 2011-03-25
lastmod: 2013-07-04 11:23:53
status_changed: 2013-07-04 11:23:53
type: techreport
metadata_visibility: show
item_issues_count: 0
creators_name: Viani, Federico
creators_name: Lizzi, Leonardo
creators_name: Rocca, Paolo
creators_name: Benedetti, Manuel
creators_name: Donelli, Massimo
creators_name: Massa, Andrea
title: Object tracking through RSSI measurements in wireless sensor networks
ispublished: pub
subjects: TU
full_text_status: public
abstract: In this letter, the localization of moving and transceiver-free objects is addressed by processing the Received Signal Strength Indicator (RSSI) available at the nodes of a Wireless Sensor Network (WSN). Starting from the RSSI measurements, the probability of the presence of unknown mobile objects is determined by means of a customized classification approach based on a Support Vector Machine (SVM). Experimental results assess the feasibility of the proposed approach. This paper is a postprint of a paper submitted to and accepted for publication in Electronics Letters and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.
date: 2008-05
date_type: published
institution: University of Trento
department: informaticat
refereed: TRUE
referencetext: 1 LI, D., WONG, K.D., HU, Y.H., SAYEED, A.M.: 'Detection, classification, and tracking of targets', IEEE Signal Process. Mag., Mar. 2002, 19, (2), pp. 17-29 2 LATSOUDAS, G. and SIDIROPOULOS, N.D.: 'A fast and effective multidimensional scaling approach for node localization in wireless sensor networks', IEEE Trans. Geosci. Remote Sens., Oct. 2007, 55, (10), pp 5121- 5127 3 BISWAS, P., LIANG, T., TOH, K., YE, Y., WANG, T.: 'Semidefinite programming approaches for sensor network localization with noisy distance measurements', IEEE Trans. Autom. Sci. Eng., Oct. 2006, 3, (4), pp 360-371 4 PAHLAVAN, K., LI, X., MAKELA, J.P.: 'Indoor geolocation science and technology', IEEE Commun. Mag, Feb. 2002, 40, (2), pp 112-118 5 CATOVIC, A. and SAHINOGLU, Z.: 'The cramer-rao bounds of hybrid toa/rss and tdoa/rss location estimation schemes', IEEE Commun. Lett., Oct. 2004, 8, (10), pp 626-628 6 PLATT, J.: 'Probabilistic outputs for support vector machines and comparison to regularized likelihood methods', in Advances in Large Marging Classifiers, A. J. Smola, P. Bartlett, B. Scholkopf, and D. Schuurmans, Eds. Cambridge, MA: MIT Press, 1999
citation:   Viani, Federico and Lizzi, Leonardo and Rocca, Paolo and Benedetti, Manuel and Donelli, Massimo and Massa, Andrea  (2008) Object tracking through RSSI measurements in wireless sensor networks.  [Technical Report]     
document_url: http://www.eledia.org/students-reports/394/1/DISI-11-005.pdf