Title :
Using traffic flow for cluster formation in vehicular ad-hoc networks
Author :
Almalag, Mohammad S. ; Weigle, Michele C.
Author_Institution :
Dept. of Comput. Sci., Old Dominion Univ., Norfolk, VA, USA
Abstract :
We present a lane-based clustering algorithm designed to provide stability in cluster lifetime for vehicular ad-hoc networks (VANETs) in urban scenarios. Stable clustering methods reduce the overhead of re-clustering and lead to an efficient hierarchical network topology. During the creation of VANET clusters, cluster members select one member to be the clusterhead. Fewer clusterhead changes result in a more stable cluster. To achieve this goal, cluster members must select a member that has the potential to be a clusterhead longer than other cluster members. Our method aims to select a clusterhead based on the lane where most of the traffic will flow.
Keywords :
traffic engineering computing; vehicular ad hoc networks; VANET; cluster formation; hierarchical network topology; lane-based clustering algorithm; traffic flow; vehicular ad-hoc networks; Ad hoc networks; Clustering algorithms; Global Positioning System; Mobile computing; Relays; Roads; Vehicles;
Conference_Titel :
Local Computer Networks (LCN), 2010 IEEE 35th Conference on
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4244-8387-7
DOI :
10.1109/LCN.2010.5735785