Paper Info
Title
Fuzzy-assisted social-based routing for urban vehicular environments.
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 real-time 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.
Year
DOI
Venue
2011
10.1186/1687-1499-2011-178
EURASIP J. Wireless Comm. and Networking
Keywords
Field
DocType
Source Node, Data Packet, Destination Node, Fuzzy Inference System, Road Segment
Link-state routing protocol,Dynamic Source Routing,Computer science,Policy-based routing,Static routing,Computer network,Wireless Routing Protocol,Geographic routing,Routing protocol,Zone Routing Protocol
Journal
Volume
Issue
ISSN
2011
1
1687-1499
Citations 
PageRank 
References 
32
0.59
17
Authors
5
Name
Order
Citations
PageRank
Rashid Hafeez Khokhar129414.25
Rafidah Md Noor225530.34
Kayhan Zrar Ghafoor327420.97
Chih-Heng Ke455339.68
Md. Asri Ngadi51288.87