A Credit-Based System for Traffic Routing in Support of Vehicular Networks

Ammar Kamel (Computer Department, College of Medicine, Al-Mustansiriyah University, Iraq), Maysaa Husam (Computer Department, College of Medicine, Al-Mustansiriyah University, Iraq), Zaid Shafeeq Bakr (College of Information Engineering, Al-Nahrain University, Iraq), and Ziad M. Abood (College of Education, Al-Mustansiriyah University, Iraq)
Copyright: © 2021 |Pages: 11
EISBN13: 9781799897408|DOI: 10.4018/JCIT.20210401.oa1
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Abstract

Network routing has a great impact on the efficiency and reliability of the traffic network system in a real-world scenario. To date, achieving network-consistent performance is the main goal of many traffic network research studies. In this research, a mixed strategy game-theory model for network routing is proposed that discovers the optimal strategies that can be adopted by network route players in a network graph. This model has been validated by measuring the model outcomes using quantal response equilibrium (QRE) technique, which explores the players' noisy decisions by comparing the utilized optimal strategies with Nash equilibrium. The experimental results demonstrate that there is an equilibrium with a mixed strategy of a given network.
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