Fuzzy-assisted social-based routing for urban vehicular environments

Hafeez Khokhar, R. and Md Noor, R. and Zrar Ghafoor, K. and Ke, C.H. and Ngadi, M.A. (2011) Fuzzy-assisted social-based routing for urban vehicular environments. EURASIP Journal on Wireless Communications and Networking, 2011 (1). pp. 1-15. ISSN 1687-1499

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Official URL: http://link.springer.com/article/10.1186%2F1687-14...

Abstract

In the autonomous environment of Vehicular Ad hoc NETwork (VANET), vehicles randomly move with high speed and rely on each other for successful data transmission process. The routing can be difficult or impossible to predict in such intermittent vehicles connectivity and highly dynamic topology. The existing routing solutions do not consider the knowledge that behaviour patterns exist in real-time urban vehicular networks. In this article, we propose a fuzzy-assisted social-based routing (FAST) protocol that takes the advantage of social behaviour of humans on the road to make optimal and secure routing decisions. FAST uses prior global knowledge of real-time vehicular traffic for packet routing from the source to the destination. In FAST, fuzzy inference system leverages friendship mechanism to make critical decisions at intersections which is based on prior global knowledge of realtime vehicular traffic information. The simulation results in urban vehicular environment for with and without obstacles scenario show that the FAST performs best in terms of packet delivery ratio with upto 32 increase, average delay 80 decrease, and hops count 50 decrease compared to the state of the art VANET routing solutions.

Item Type: Article
Uncontrolled Keywords: Autonomous environment of Vehicular Ad hoc NETwork (VANET); fuzzy-assisted social-based routing (FAST) protocol; real-time vehicular traffic for packet routing; fuzzy inference system
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Computer Science & Information Technology > Dept of Computer System & Technology
Depositing User: Miss Nur Jannatul Adnin Ahmad Shafawi
Date Deposited: 08 Feb 2013 02:41
Last Modified: 08 Feb 2013 02:41
URI: http://eprints.um.edu.my/id/eprint/4775

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