Robust wireless signal indoor localization

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 (c) 2015John Wiley & Sons, Ltd.