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Detecting wi-fi base station behavior inappropriate for positioning method in participatory sensing logs

Published: 08 September 2013 Publication History

Abstract

Recently mobile base stations are getting increased, which is considered harmful for the Wi-Fi positioning methods. In this paper, three approaches for detecting Wi-Fi base station behaviors inappropriate for Wi-Fi signature sampling are introduced and their performance evaluations are presented. First approach is for outdoor environment using GPS or Wi-Fi, second for indoor environment using Wi-Fi and accelerometers and last for the first contact stations using the Bayesian estimation method. Bayesian estimation is fine for stationary stations but much severe for mobile stations.

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    cover image ACM Conferences
    UbiComp '13 Adjunct: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
    September 2013
    1608 pages
    ISBN:9781450322157
    DOI:10.1145/2494091
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 08 September 2013

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    Author Tags

    1. distributed collaborative System
    2. embedded software
    3. human activity recognition
    4. sensing network
    5. system software
    6. ubiquitous computing

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    UbiComp '13 Adjunct Paper Acceptance Rate 254 of 399 submissions, 64%;
    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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