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Robust wireless signal indoor localization
Author(s) -
Kong Liang,
Bauer Gavin,
Hale John
Publication year - 2015
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.3443
Subject(s) - enabling , computer science , workflow , signal strength , wireless , signal (programming language) , key (lock) , context (archaeology) , fuzzy logic , calibration , received signal strength indication , data mining , mobile device , real time computing , artificial intelligence , telecommunications , computer security , database , world wide web , mathematics , statistics , psychology , psychotherapist , programming language , paleontology , biology
Summary Localization is a key enabler of context awareness in computing environments. This paper presents a technique for indoor localization using wireless signal strength from mobile devices. The method described treats locations as fuzzy sets and fuzzifies signal strength‐related features to define membership. Membership values are then fused from multiple sources using a rule engine to deduce objective location values. The principal benefits of this technique are that it requires little or no calibration and that it can be used with widely available commercial devices. Simulation shows that this technique is robust to errors and provides reasonable accuracy. Applications to collaborative workflow and human computer interaction are discussed. Copyright © 2015 John Wiley & Sons, Ltd.