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- W62824462 abstract "This work introduces the notion of Wifigrams, i.e., visual Wi-Fi maps which comprise hundreds of topological positions (nodes) linked in accordance with their co-visibility degree of Wi-Fi Access Points (APs). Both design and analysis of Wifigrams are guided by the most popular Social Network Analysis (SNA) techniques. Thus, the structure of a hierarchical topology-based Wi-Fi indoor localization system emerges naturally when looking carefully to the related Wifigram. It shows graphically the closeness among topological positions in terms of their pattern of AP co-visiblity, yielding several zones of interest which are automatically discovered through community mining techniques. This novel proposal has been successfully tested in a large real-world environment, namely the first floor of the west wing in the Polytechnic School at the University of Alcala (UAH), yielding encouraging results." @default.
- W62824462 created "2016-06-24" @default.
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- W62824462 date "2013-01-01" @default.
- W62824462 modified "2023-09-27" @default.
- W62824462 title "Wifigrams: Design of Hierarchical Wi-Fi Indoor Localization Systems Guided by Social Network Analysis" @default.
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- W62824462 doi "https://doi.org/10.1007/978-3-642-53862-9_2" @default.
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