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Terrain/clutter based location prediction by using multi-condition Bayesian decision theory

Published: 20 February 2012 Publication History

Abstract

This research work is based on the location prediction of wireless nodes with the terrains/clutters considerations. Multi-condition Bayesian decision theory is applied for precision in selected locations. Currecnt research is the continution of our previous research work in which twelve terrains were proposed based on the atmospharic atteunation. In the first phase of paper, basic parameters such as receive signal strength and available signal strength are calculated by using terrain/clutter considerations. Secondly, geomatric approach is used to calculate angle of arrival. Finally, multi-condition bayesian decision theory is used to precise the calculated results. Three posterior probabilities, the angle error rate (e), overlapping coverage area (Ω) and the terrains/clutters error rate (Ć) are used with the Bayesian decision theory for the most probable location of wireless node. Results show that 60%- 80% accuracy could be achived if proper terrain defination and multi-condition bayesian decision theory is followed.

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Muhammad Alam, Mazliham Muhammad Suud, Patrice Boursier, Shahrulniza Musa, Jawahir Che Mustapha Yusuf "Predicted and Corrected Location Estimation of Mobile Nodes Based on the Combination of Kalman Filter and the Bayesian Decision Theory" Mobile Wireless Middleware, Operating Systems, and Applications, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2010, Volume 48, Part 7, 313--325.
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Muhammad, A.; Mazliham, M. S.; Boursier, P.; Shahrulniza, M.; Mustapha, J. C., "Terrain/Clutter Based Error Calculation in Location Estimation of Wireless Nodes by using Receive Signal Strength" 2nd International Conference on Computer Technology and Development (ICCTD), 2010 Cairo, Egypt. November 2-4, 2010 ISBN: 978-1-4244-8844-5.
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Muhammad, A.; Mazliham, M. S.; Boursier, P.; Shahrulniza, M.; Mustapha, J. C., "Clutter based Enhance Error Rate Table (CERT) for Error Correction in Location Estimation of Mobile Nodes" International Conference on Information and Computer Networks, ICICN 2011, 26-28 January 2011 Guiyang, China IEEE Catalog Number: CFP1145M-PRT ISBN: 978-1-4244-9514-6.
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Castro, P., Chiu, P., Kremenek, T., And Muntz, R. A Probabilistic Location Service for Wireless Network Environments. Ubiquitous Computing 2001 September 2001.

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    cover image ACM Conferences
    ICUIMC '12: Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
    February 2012
    852 pages
    ISBN:9781450311724
    DOI:10.1145/2184751
    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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    Published: 20 February 2012

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    Author Tags

    1. available signal strength
    2. multi-condition BDT
    3. receive signal strength
    4. terrain/clutter atteunation

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