Bayesian Inference as a Problem Solving Tool in Proactive Routing Protocols

  • Sadia Jabeen Siddiqi
  • Sadaqat Jan
  • Ibrar Ali Shah
  • Muhammad Abbas Mahmood


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.