DocumentCode
1457230
Title
Dynamic Clustering-Based Adaptive Mobile Gateway Management in Integrated VANET — 3G Heterogeneous Wireless Networks
Author
Benslimane, Abderrahim ; Taleb, Tarik ; Sivaraj, Rajarajan
Author_Institution
Comput. Sci. Lab. of Avignon (LIA), Univ. of Avignon, Avignon, France
Volume
29
Issue
3
fYear
2011
fDate
3/1/2011 12:00:00 AM
Firstpage
559
Lastpage
570
Abstract
Coupling the high data rates of IEEE 802.11p-based VANETs and the wide coverage area of 3GPP networks (e.g., UMTS), this paper envisions a VANET-UMTS integrated network architecture. In this architecture, vehicles are dynamically clustered according to different related metrics. From these clusters, a minimum number of vehicles, equipped with IEEE 802.11p and UTRAN interfaces, are selected as vehicular gateways to link VANET to UMTS. Issues pertaining to gateway selection, gateway advertisement and discovery, service migration between gateways (i.e., when serving gateways lose their optimality) are all addressed and an adaptive mobile gateway management mechanism is proposed. Simulations are carried out using NS2 to evaluate the performance of the envisioned architecture incorporating the proposed mechanisms. Encouraging results are obtained in terms of high data packet delivery ratios and throughput, reduced control packet overhead, and minimized delay and packet drop rates.
Keywords
3G mobile communication; radio networks; telecommunication network management; vehicular ad hoc networks; 3G heterogeneous wireless networks; IEEE 802.11p; UTRAN interfaces; adaptive mobile gateway management; dynamic clustering; high data packet delivery ratios; integrated VANET; packet overhead; service migration; 3G mobile communication; Logic gates; Measurement; Mobile computing; Vehicle dynamics; Vehicles; 3G; VANET; clustering and adaptive mobile gateway management; system integration;
fLanguage
English
Journal_Title
Selected Areas in Communications, IEEE Journal on
Publisher
ieee
ISSN
0733-8716
Type
jour
DOI
10.1109/JSAC.2011.110306
Filename
5719268
Link To Document