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Communication Dans Un Congrès Année : 2010

Analysis of Opportunistic Localization Algorithms Based on the Linear Matrix Inequality Method

Résumé

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.
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Dates et versions

hal-00452360 , version 1 (02-02-2010)
hal-00452360 , version 2 (03-02-2010)

Identifiants

  • HAL Id : hal-00452360 , version 2

Citer

Francesco Zorzi, Andrea Bardella, Tanguy Pérennou, Guodong Kang, Andrea Zanella. Analysis of Opportunistic Localization Algorithms Based on the Linear Matrix Inequality Method. The Second International Workshop on Mobile Opportunistic Networking ACM/SIGMOBILE MobiOpp 2010, Feb 2010, Pisa, Italy. 4p. ⟨hal-00452360v2⟩
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