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Bayesian inference as a problem solving tool in proactive routing protocols.

Author(s)
Sadia Jabeen Siddiqi University of Engineering and Technology, Peshawar, Pakistan
Sadaqat Jan University of Engineering and Technology, Peshawar, Pakistan
Imran Khan University of Engineering and Technology, Peshawar, Pakistan
Ibrar Ali Shah University of Engineering and Technology, Peshawar, Pakistan
Muhammad Abbas Mahmood University of Engineering and Technology, Peshawar, Pakistan
Abstract
This paper rationalizes nine proactive protocols in terms of their efficiencies, inefficiencies and convergence properties This is done in order to pinpoint challenges associated with these protocols, so that novel algorithms may be proposed for coping with the discovered issues The methodology followed to put forward the said solutions is that of Bayesian inference. Bayesian inference is a statistical technique having wide applications in the decision theory. The paper highlights salient features of Bayesian inference and, in the meantime, scrutinizes its applicability as a problem solving mechanism in the decision making of proactive routing protocols.
Publication Details
Page(s) 42-49
DOI DOI not available
Published Journal: Bahria University Journal of Information & Communication Technologies, Volume: 8, Issue: 2, Year: 2015

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