Location Estimation and Filtering of Wireless Nodes in an Open Environment

  • A. Muhammad
  • M. S. Mazliham
  • Patrice Boursier
  • M. Shahrulniza
Part of the Communications in Computer and Information Science book series (CCIS, volume 253)


The research is on the location estimation and filtering of wireless nodes in an open environment. This research is based on our previous findings in which we categorized the geographical area into thirteen different terrains/clutters based on the signal to noise ratio. As signal to noise ratio differs from terrain to terrain therefore data points are calculated for each terrain. A C# program is used with the WiFi architecture to calculate the available signal strength and the receive signal strength. Estimation is done by using triangulation method with the construction of three triangles. As each experiment is repeated five times which estimated five different positions due to the effect of signal to noise ratio, therefore fifteen locations are estimated based on three triangles. Filtering is further done by using average and mean of means calculations. Results show that terrains/clutters based location estimation and filtering produce better results. Only terrains with high attenuation such as sea, dense forest, highway/motorway and high dense urban areas has high error rate after filtering. This research work helps to minimize location error in an open environment.


Location estimation location filtering terrains/clutters signal to noise ratio 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • A. Muhammad
    • 1
    • 2
    • 5
  • M. S. Mazliham
    • 3
  • Patrice Boursier
    • 1
    • 4
  • M. Shahrulniza
    • 5
  1. 1.Laboratoire Informatique Image Interaction (L3i)Université de La RochelleFrance
  2. 2.Institute of Research and Postgraguate StudiesUniKL (BMI)Kuala LumpurMalaysia
  3. 3.Malaysia France Institute (UniKL MFI)Bandar Baru BangiMalaysia
  4. 4.Faculty of Computer Science & ITUniversiti MalayaKuala LumpurMalaysia
  5. 5.Malaysian Institute of Information Technology (UniKL MIIT)Kuala LumpurMalaysia

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