Enhancing the Localization of Blind Node in Pipeline Network using Trilateration Algorithm
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Date
2017
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Department of Electronic and Computer Engineering, Nnamdi Azikiwe University, Awka.
Abstract
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.
Description
Keywords
Trilateration, Signal Propagation Model, Power Law Model, Path loss exponent, Localization error