Embracing Localization Inaccuracy: A Case Study

Raza, Usman and Murphy, Amy L. and Picco, Gian Pietro (2012) Embracing Localization Inaccuracy: A Case Study. Trento : University of Trento.

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    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.

    Item Type: Departmental Technical Report
    Publisher policy set phrase: "(c) 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works."
    Department or Research center: Information Engineering and Computer Science
    Subjects: Q Science > QA Mathematics > QA075 Electronic computers. Computer science
    T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.5 Computer Networks
    T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885 Computer Engineering
    Additional Information: Accepted for publication in IEEE ISSNIP 2013 Proceedings.
    Report Number: DISI-12-038
    Repository staff approval on: 26 Nov 2012 14:07

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