• 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