Title :
C-DRIVE: Clustering Based on Direction in Vehicular Environment
Author :
Maslekar, N. ; Boussedjra, M. ; Mouzna, J. ; Labiod, H.
Author_Institution :
Dept. of Instrum. & Inf. Syst., Irseem Esigelec St. Etienne du Rouvray, France
Abstract :
In this paper we propose a direction based clustering algorithm to disseminate the information amongst vehicles. This protocol can be used to realize efficiency applications in VANETs such as adaptive traffic signal control by estimating the density of vehicles on a given road. C-DRIVE uses the direction of the vehicle to optimize the data dissemination during the formation of the clusters and hence facilitating for better utilization of the available bandwidth. The simulations show that the proposed protocol reduces the number of broadcast packets being sent on the network. We also find that the protocol is efficient in terms of overheads during the cluster formation.
Keywords :
pattern clustering; traffic engineering computing; vehicular ad hoc networks; C-DRIVE; VANET; adaptive traffic signal control; data dissemination; direction based clustering algorithm; vehicle density estimation; vehicular environment; Algorithm design and analysis; Bandwidth; Clustering algorithms; IP networks; Mobile communication; Protocols; Vehicles;
Conference_Titel :
New Technologies, Mobility and Security (NTMS), 2011 4th IFIP International Conference on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-8705-9
Electronic_ISBN :
2157-4952
DOI :
10.1109/NTMS.2011.5720653