Bulletin de la Société Royale des Sciences de Liège

0037-9565 1783-5720

 

depuis le 05 février 2011 :
Visualisation(s): 448 (6 ULiège)
Téléchargement(s): 254 (0 ULiège)
print        
Omid Norouzifar, Manouchehr Kazemi & Mahdieh Nadi Senejani

Developing a New Weighted Voting Algorithm based on Markov Model

(Volume 86 - Année 2017 — Special issue)
DOI: 10.25518/0037-9565.6863
Article
Open Access

Document(s) associé(s)

Version PDF originale

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.

Keywords : fault-tolerant, Markov chains, reliability, temperature prediction algorithm, voting algorithms, weighted voting

Pour citer cet article

Omid Norouzifar, Manouchehr Kazemi & Mahdieh Nadi Senejani, «Developing a New Weighted Voting Algorithm based on Markov Model», Bulletin de la Société Royale des Sciences de Liège [En ligne], Volume 86 - Année 2017, Special issue, 528 - 534 URL : https://popups.uliege.be/0037-9565/index.php?id=6863.

A propos de : Omid Norouzifar

Department of Computer Engineering, Faculty of Engineering, Ashtian Branch, Islamic Azad University, Ashtian, Iran

A propos de : Manouchehr Kazemi

Department of Computer Engineering, Faculty of Engineering, Ashtian Branch, Islamic Azad University, Ashtian, Iran, univer_ka@yahoo.com

A propos de : Mahdieh Nadi Senejani

Department of Computer Engineering, Faculty of Engineering, Ashtian Branch, Islamic Azad University, Ashtian, Iran