DocumentCode
254883
Title
Building Your Own Infrastructure Based 802.11 Fingerprinting Service
Author
Sanchez, Abel ; Campuzano, Francisco ; Garcia Sola, Alberto ; Botia, Juan A
Author_Institution
Dept. de Ing. de la Informacion y las Comun., Univ. de Murcia, Espinardo, Spain
fYear
2014
fDate
June 30 2014-July 4 2014
Firstpage
39
Lastpage
46
Abstract
Indoor positioning is a basic requirement of Intelligent Environments. It is a building block for providing context-aware computing. Infrastructure based WiFi fingerprinting positioning technology (IBWFP) is one way of satisfying such requirement. In IBWFP, the basic landmarks for positioning are fixed 802.11 access points with a well known location. And it is infrastructure based because it refers to the fact that access points devote some computing capacity to collect 802.11 packets from other 802.11 mobile devices. Such information enables positioning a 802.11 mobile device indoors. This paper is a proposal for an inexpensive IBWFP. Its main contributions are a detailed accounting on how to build the physical system (business logic within the routers, configuration of the network in terms of number and location) and how to deploy and maintain the service on top of the physical system (i.e. Site survey, location engine creation, validation and management) with enough accuracy to exploit it. To the best of our knowledge, this is the first attempt to give a guideline to build your own inexpensive IBWFP technology covering all these practical aspects. Our intent is to push forward this technology by sharing our experience using it.
Keywords
indoor communication; mobility management (mobile radio); position control; ubiquitous computing; wireless LAN; 802.11 access points; 802.11 mobile device indoors; IBWFP; context-aware computing; indoor positioning; infrastructure based 802.11 fingerprinting service; infrastructure based WiFi fingerprinting positioning technology; intelligent environments; Accuracy; Buildings; Calibration; IEEE 802.11 Standards; Mobile handsets; Performance evaluation; Proposals; WiFi fingerprinting indoor positioning; indoor location for intelligent environments; machine learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Environments (IE), 2014 International Conference on
Conference_Location
Shanghai
Type
conf
DOI
10.1109/IE.2014.13
Filename
6910424
Link To Document