Opportunistic localization is a new approach to the self-localization problem that is recognized as one of the most critical for mobile users, in particular in indoor environments. The basic idea consists in allowing mobile users to exchange location information when they happen to be in radio range and to exploit this information in order to improve the self-localization accuracy of mobile users. This demo is aimed at proving the effectiveness of the opportunistic approach and identifying possible drawbacks and technical issues. To this end, we will realize a simple though realistic network deployment, where a mobile user, which performs a very basic min-max self localization procedure, tries to improve the accuracy of its location by communicating on an opportunistic basis with other nodes in spatial proximity. The demo will allow us to appreciate the actual benefit that the opportunistic paradigm brings to the self-localiztion problem and to compare the performance of different opportunistic localization algorithms.
Experimental Localization Application in Opportunistic Scenario
ZANELLA, ANDREA
2010
Abstract
Opportunistic localization is a new approach to the self-localization problem that is recognized as one of the most critical for mobile users, in particular in indoor environments. The basic idea consists in allowing mobile users to exchange location information when they happen to be in radio range and to exploit this information in order to improve the self-localization accuracy of mobile users. This demo is aimed at proving the effectiveness of the opportunistic approach and identifying possible drawbacks and technical issues. To this end, we will realize a simple though realistic network deployment, where a mobile user, which performs a very basic min-max self localization procedure, tries to improve the accuracy of its location by communicating on an opportunistic basis with other nodes in spatial proximity. The demo will allow us to appreciate the actual benefit that the opportunistic paradigm brings to the self-localiztion problem and to compare the performance of different opportunistic localization algorithms.Pubblicazioni consigliate
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