OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

Opportunistic localization scheme based on linear matrix inequality

Zorzi, Francesco and Kang, GuoDong and Pérennou, Tanguy and Zanella, Andrea Opportunistic localization scheme based on linear matrix inequality. (2009) In: NEWCOM++ - ACoRN Joint Workshop, 01 April 2009, Barcelona, Spain . (Unpublished)

[img]
Preview
(Document in English)

PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
298kB

Abstract

Localization and Tracking are very interesting functionalities that can benefit a number of applications. Despite the large number of algorithms and technologies that have been proposed in this context, the literature still lacks a widely accepted solution, capable of cutting a tradeoff between service quality (i.e., localization accuracy) and device/architecture cost and complexity. In this paper, we tackle the problem from a different and rather new perspective: we investigate how the localization accuracy of nodes can be ameliorated by opportunistically exchanging localization information among nodes that occasionally happen to be in proximity. To this end, we define a simple though accuratemodel of the opportunistic interaction and we develop a technique based on Linear Matrix Inequalities and barycentric algorithm in order to localize a user node that is completely unaware of its position. We analyse the opportunistic localization performance for different settings of the design parameters as duty–cycle and error modeling taking into account accuracy, degradation in time, correlation among consecutive estimation.

Item Type:Other Conference
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Other partners > Università degli Studi di Padova (ITALY)
Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE
Other partners > Northwestern_Polytechnical_University (CHINA)
French research institutions > Centre National de la Recherche Scientifique - CNRS
Laboratory name:
Statistics:download
Deposited By: Tanguy PERENNOU
Deposited On:28 May 2009 08:00

Repository Staff Only: item control page