Developing a New Weighted Voting Algorithm based on Markov Model

Abstract

Voting algorithms play a significant role in most fault-tolerant and control systems so these algorithms are continually in progress and with regard to specific situations in different systems, new voting algorithms are growing and increase the reliability and fault tolerability of systems. In this paper, a new combined algorithm using a weighted voter based on Markov chain is presented that is increased the reliability of system than both of median voter and average voter. In this paper, the proposed algorithm on average weather data of a year in Tehran was tested and simulation results show the effectiveness of the method than the other methods.