A Bayesian Perspective on RSS Based Localization for Visible Light Communication With Heterogeneous Networks Extension

A Bayesian Perspective on RSS Based Localization for Visible Light Communication With Heterogeneous Networks Extension

In this paper, we propose a novel probabilistic localization approach that relies on a Metropolis-Hastings (MH) algorithm-based Bayesian approach to visible light communication (VLC) systems. Due to the usage of the MH algorithm from Markov chain Monte Carlo methods, the positioning capability of th...

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Bibliographic Details
Main Authors: Saliha Buyukcorak, Gunes Karabulut Kurt
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Heterogeneous networks
localization
Markov chain Monte Carlo
Metropolis-Hastings
received power level
visible light communication
Online Access:https://ieeexplore.ieee.org/document/8017569/

Internet

https://ieeexplore.ieee.org/document/8017569/

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