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International Conference on Intelligent Software Methodologies, Tools, and Techniques

SoMeT 2014: Intelligent Software Methodologies, Tools and Techniques pp 119–133Cite as

Dynamic WLAN Fingerprinting RadioMap for Adapted Indoor Positioning Model

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 513))

Abstract

As a result of Smartphone usage increment a sharp growth in demand for indoor environment computing especially for Location Based Services (LBS) has been occurred. The basic concept of LBS is to determine the mobile users’ location, which is important for services such as tracking or navigation in Civil defense and Healthcare. Currently, there are many techniques used to locate a mobile user in indoor environment. WLAN is considered as one of the best choices for indoor positioning due to its low cost, simple configuration and high accuracy. Although the WLAN Received Signal Strength Indicator (RSSI) fingerprinting method is the most accurate positioning method, it has a serious drawback because it’s Radio Map (RM) become outdated when environmental change occurs. In addition, recalibrating the RM is a time consuming process. This paper presents a novel adapted indoor positioning model which uses the path loss propagation model of the wireless signal to overcome the outdated RM. The experimental results demonstrate that the proposed adapted model is highly efficient in solving the problems mentioned especially in a dynamically changing environment.

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Authors and Affiliations

  1. Advanced Informatics School (AIS), Universiti Teknolgi Malaysia (UTM), Jalan Semarak, 54100, Kuala Lumpur, Malaysia

    Iyad H. Alshami, Noor Azurati Ahmad & Shamsul Sahibuddin

Authors
  1. Iyad H. Alshami
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  2. Noor Azurati Ahmad
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  3. Shamsul Sahibuddin
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Correspondence to Iyad H. Alshami .

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Editors and Affiliations

  1. Iwate Prefectural University, Takizawa, Japan

    Hamido Fujita

  2. Universiti Teknologi Malaysia, Johor Baharu, Malaysia

    Ali Selamat

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Alshami, I.H., Ahmad, N.A., Sahibuddin, S. (2015). Dynamic WLAN Fingerprinting RadioMap for Adapted Indoor Positioning Model. In: Fujita, H., Selamat, A. (eds) Intelligent Software Methodologies, Tools and Techniques. SoMeT 2014. Communications in Computer and Information Science, vol 513. Springer, Cham. https://doi.org/10.1007/978-3-319-17530-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-17530-0_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17529-4

  • Online ISBN: 978-3-319-17530-0

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