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A Robust Localization Framework to Handle Noisy Measurements in Wireless Sensor Networks

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A robust localization framework to handle noisy measurements in wireless sensor networks.pdf (785.4Kb)
Date
2009
Author
Erten, Cesim
Karataş, Ömer
Abstract
We construct a robust localization framework to handle noisy measurements in wireless sensor networks. Traditionally many approaches employ the distance information gathered from ranging devices of the sensor nodes to achieve localization. However the measurements of these devices may contain noise both as hardware noise and as environmental noise due to the employment conditions of the network. It Is necessary to provide a general framework that handles such a noise in data and yet still be applicable within several localization algorithms. In order to handle noise in distance measurements our framework utilizes convex constraints and confidence intervals of a random variable. At the end of the localization process nodes are assigned to a set of feasible regions with corresponding probabilities. The accuracy of the localization can be adjusted and the framework can easily be embedded to work within previously suggested localization algorithms.

Source

24th International Symposium on Computer and Information Sciences

Pages

707-

URI

https://hdl.handle.net/20.500.12469/1106
https://doi.org/10.1109/ISCIS.2009.5291910

Collections

  • Araştırma Çıktıları / Scopus [1482]
  • Araştırma Çıktıları / WOS [1412]
  • Bilgisayar Mühendisliği / Computer Engineering [177]

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DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV