DocumentCode :
606732
Title :
Embracing localization inaccuracy: A case study
Author :
Raza, Usman ; Murphy, A.L. ; Picco, Gian Pietro
Author_Institution :
Center for Inf. Technol. - IRST, Bruno Kessler Found., Trento, Italy
fYear :
2013
fDate :
2-5 April 2013
Firstpage :
207
Lastpage :
212
Abstract :
In recent years, indoor localization has become a hot research topic with some sophisticated solutions reaching accuracy on the order of ten centimeters. While certain classes of applications can justify the corresponding costs that come with these solutions, a wealth of applications have requirements that can be met at much lower cost by accepting lower accuracy. This paper explores one specific application for monitoring patients in a nursing home, showing that sufficient accuracy can be achieved with a carefully designed deployment of low-cost wireless sensor network nodes in combination with a simple RSSI-based localization technique. Notably our solution uses a single radio sample per period, a number that is much lower than similar approaches. This greatly eases the power burden of the nodes, resulting in a significant lifetime increase. This paper evaluates a concrete deployment from summer 2012 composed of fixed anchor motes throughout one floor of a nursing home and mobile units carried by patients. We show how two localization algorithms perform and demonstrate a clear improvement by following a set of simple guidelines to tune the anchor node placement. We show both quantitatively and qualitatively that the results meet the functional and non-functional system requirements.
Keywords :
indoor radio; patient monitoring; wireless sensor networks; RSSI-based localization technique; anchor node placement; indoor localization; mobile units; non-functional system; nursing home; patient monitoring; wireless sensor network nodes; Accuracy; Batteries; Image edge detection; Medical services; Mobile communication; Monitoring; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing, 2013 IEEE Eighth International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-5499-8
Type :
conf
DOI :
10.1109/ISSNIP.2013.6529790
Filename :
6529790
Link To Document :
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