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Indoor location using fingerprinting and fuzzy logic
Mestre, Pedro; Coutinho, Luis; Reigoto, Luis; Matias, João; Correia, Aldina; Couto, Pedro; Serôdio, CarlosIndoor location systems cannot rely on technologies such as GPS (Global Positioning System) to determine the position of a mobile terminal, because its signals are blocked by obstacles such as walls, ceilings, roofs, etc. In such environments. The use of alternative techniques, such as the use of wireless networks, should be considered. The location estimation is made by measuring and analysing one of the param...
A lightweight indoor localization model based on motley-keenan and COST
Serôdio, Carlos; Coutinho, Luis; Reigoto, Luis; Matias, João; Correia, Aldina; Mestre, PedroThis paper presents a novel approach to WLAN propagation models for use in indoor localization. The major goal of this work is to eliminate the need for in situ data collection to generate the Fingerprinting map, instead, it is generated by using analytical propagation models such as: COST Multi-Wall, COST 231 average wall and Motley- Keenan. As Location Estimation Algorithms kNN (K-Nearest Neighbour) and WkNN ...
RSS and LEA adaptation for indoor location using fingerprinting
Mestre, Pedro; Reigoto, Luis; Coutinho, Luis; Correia, Aldina; Matias, João; Serôdio, CarlosFingerprinting is an indoor location technique, based on wireless networks, where data stored during the offline phase is compared with data collected by the mobile device during the online phase. In most of the real-life scenarios, the mobile node used throughout the offline phase is different from the mobile nodes that will be used during the online phase. This means that there might be very significant diffe...
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