Analysis of opportunistic localization algorithms based on the linear matrix inequality method
Autor: | Andrea Bardella, Francesco Zorzi, Andrea Zanella, GuoDong Kang, Tanguy Pérennou |
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Přispěvatelé: | Dipartimento di Ingegneria de l'Informazione [Padova] (DEI), Universita degli Studi di Padova, Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, Télécommunications Spatiales et Aéronautiques - Telecommunications for Space ant Aeronautics (TéSA), Laboratoire de recherche coopératif dans les télécommunications spatiales et aéronautiques (TESA), NoE FP7 NEWCOM++, ANR-07-TCOM-0006,FIL,Fusion d'Information pour la Localisation(2007), Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Institut National des Sciences Appliquées de Toulouse - INSA (FRANCE), Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE), Northwestern Polytechnical University (CHINA), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université Toulouse - Jean Jaurès - UT2J (FRANCE), Université Toulouse 1 Capitole - UT1 (FRANCE), Laboratoire de recherche en télécommunications spatiales et aéronautiques - TéSA (FRANCE), Università degli Studi di Padova (ITALY), Università degli Studi di Padova = University of Padua (Unipd), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT) |
Rok vydání: | 2010 |
Předmět: |
Computer–Communication Networks
Engineering Design Performance [SHS.INFO]Humanities and Social Sciences/Library and information sciences Distributed computing Réseaux et télécommunications 02 engineering and technology C.2.2 0202 electrical engineering electronic engineering information engineering LMI Randomness Wireless Networks Wireless network business.industry Linear matrix inequality 020206 networking & telecommunications Network Protocols Variety (cybernetics) Range (mathematics) Localization Opportunistic 020201 artificial intelligence & image processing Computer – Communication networks – Network protocols – Performance – Design – Localization – LMI – Wireless networks – Opportunistic Focus (optics) business Communications protocol Mobile device Algorithm |
Zdroj: | MobiOpp Proceedings of ACM/SIGMOBILE MobiOpp 2010 The Second International Workshop on Mobile Opportunistic Networking ACM/SIGMOBILE MobiOpp 2010 The Second International Workshop on Mobile Opportunistic Networking ACM/SIGMOBILE MobiOpp 2010, Feb 2010, Pisa, Italy. 4p |
DOI: | 10.1145/1755743.1755777 |
Popis: | Accepté pour publication comme poster à MobiOpp 2010; International audience; With the increasing spread of use of mobile devices there is a growing demand for location-aware services in a wide variety of contexts. Yet providing an accurate location estimation is difficult when considering cheap off-the-shelf mobile devices, particularly in indoors or urban environments. In this paper we define and compare different localization algorithms based on an opportunistic paradigm. In particular, we focus on range-free and range-based localization techniques that are based on the solution of a Linear Matrix Inequalities (LMI) problem. The performance achievable with this approach is analyzed in different scenarios, through extensive simulation campaign. Results show that LMI-based schemes, especially the range–based one, are potentially capable of yielding very accurate localization even after a limited number of opportunistic exchange, though performance is rather sensitive to the accuracy of the other nodes' self-localization and to the randomness of the radio channel. |
Databáze: | OpenAIRE |
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