Zorzi, Francesco and Bardella, Andrea and Pérennou, Tanguy and Kang, GuoDong and Zanella, Andrea Analysis of opportunistic localization algorithms based on the linear matrix inequality method. (2010) In: The Second International Workshop on Mobile Opportunistic Networking ACM/SIGMOBILE MobiOpp 2010, 22-23 Feb 2010, Pisa, Italy .
(Document in English)
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Official URL: http://doi.acm.org/10.1145/1755743.1755777
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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