@article{AlonsoLNSC2013,
author = "Alonso, Jos{\'e} Mar{\'i}a and Hern{\'a}ndez, Noelia and Oca{\~n}a, Manuel",
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 Alcal{\'a} (UAH), yielding encouraging results.
",
doi = "10.1007/978-3-642-53862-9",
issn = "0302-9743",
journal = "Lecture Notes in Computer Science",
keywords = "Wi-Fi Technology; Topology-based Hierarchical Localization; Social Network Analysis",
pages = "9-16",
title = "{W}ifigrams: {D}esign of {H}ierarchical {W}i-{F}i {I}ndoor {L}ocalization {S}ystems {G}uided by {S}ocial {N}etwork {A}nalysis",
volume = "8112",
year = "2013",
}