Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register. Have you forgotten your password?
Repository logo
  • Communities & Collections
  • All of DSpace
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Dilibe, C.G., Ayinla, S.L., Ajakor, U.P. & Shittu, M."

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • Item
    Enhancing the Localization of Blind Node in Pipeline Network using Trilateration Algorithm
    (Department of Electronic and Computer Engineering, Nnamdi Azikiwe University, Awka., 2017) Dilibe, C.G., Ayinla, S.L., Ajakor, U.P. & Shittu, M.
    Localization refers to the process of estimating and computing the positions of sensor nodes in some spatial coordinate system. Computation of geographical position of sensor nodes is the key challenge facing the design and deployment of WSN. Location information is used in many ways, including topology maintenance, medium access control (MAC) protocols and routing protocols and localization of event. In this work, pipeline network for blind node localization was developed. It was used as an experimental test bed for the implementation of trilateration algorithm. Trilateration based localization algorithm for blind node location and distance determination in a pipeline network was used. Details regarding the implementation of the algorithm were discussed. A test bed area of dimension 21m by 18m containing anchor and blind nodes deployed on it was used to characterize the path loss exponent and to determine the localization error of the algorithm. The path loss exponent of the test bed area was computed to be 3.25 while the localization algorithm is shown to have localization error of 4.7.

University of Ilorin Library © 2024, All Right Reserved

  • Cookie settings
  • Send Feedback
  • with ❤ from dspace.ng