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Reseach Article

Enhancing Routing Strategy to Optimize Architecture of Vehicle to Infrastructure Communication

by Pooja Shah
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 53 - Number 8
Year of Publication: 2012
Authors: Pooja Shah
10.5120/8442-2227

Pooja Shah . Enhancing Routing Strategy to Optimize Architecture of Vehicle to Infrastructure Communication. International Journal of Computer Applications. 53, 8 ( September 2012), 29-35. DOI=10.5120/8442-2227

@article{ 10.5120/8442-2227,
author = { Pooja Shah },
title = { Enhancing Routing Strategy to Optimize Architecture of Vehicle to Infrastructure Communication },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 53 },
number = { 8 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 29-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number8/8442-2227/ },
doi = { 10.5120/8442-2227 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:53:36.522005+05:30
%A Pooja Shah
%T Enhancing Routing Strategy to Optimize Architecture of Vehicle to Infrastructure Communication
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 8
%P 29-35
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The road side infrastructure plays a vital role for any Vehicular Ad-hoc Network for implementing a rich set of applications like traffic monitoring and management, road disaster mitigation etc. This is the reason that efficient communication between the vehicles and the road side infrastructure is required. The application under consideration is providing a zero traffic lane (Z-Lane) for an ambulance. The scenarios are implemented with the help of Simulation of Urban Mobility (SUMO) which is a road traffic simulator based on Krauss Mobility Model. For the normal working of the said application, road side infrastructure broadcasts alert messages informing the vehicle drivers to vacant the lane. The problem addressed in this research work is the scenario where no infrastructure is present in the range of ambulance. In this case, the trigger from the ambulance must reach the nearest infrastructure as early as possible. For this purpose vehicle to vehicle communication is used. After analyzing various routing algorithms Ad-hoc On Demand Distance Vector (AODV) routing algorithm is chosen for the said communication. The AODV protocol has significant amount of end to end delay. The research work aims to modify AODV to reduce the Route REQuest (RREQ) packet generation. This is done using the geographic position of the neighboring node. The simulation results of the implementation of modified AODV shows that the number of RREQ packets reduces drastically and in turn end-to-end delay also reduces. The network traffic simulation is done with the help of Network Simulator - 2. MObility generator for VEhicular network is used to generate the scenario in SUMO and converting it into NS-2 readable form.

References
  1. Lochert, C. , Mauve, M. , F¨ußler, H. , and Hartenstein, H. , Geographic routing in city scenarios, ACM SIGMOBILE Mobile Computing and Communications Review, 9(1),69–72, 2005.
  2. Lochert, C. , et al. , "A Routing Strategy for Vehicular Ad Hoc Networks in City Environments", in Proceedings of the IEEE Intelligent Vehicles Symposium 2003, Columbus, OH, USA, June 2003, pp. 156–161.
  3. Reichardt, D. , Miglietta, M. , Moretti, L. , Morsink, P. , and Schulz, W. , CarTALK 2000: "Safe and Comfortable Driving Based Upon Inter-Vehicle Communication", in Proc. of the IEEE Intelligent Vehicle Symposium, June 2002, pp. 545–550.
  4. Ilias Leontiadis and Cecilia Mascolo, "GeOpps: Geographical Opportunistic Routing for Vehicular Networks", 1 -4244-0992-6/07 IEEE 2007.
  5. C. E. Perkins, E. M. Belding-Royer, and S. Das, "Ad Hoc On Demand Distance Vector (AODV) Routing", IETF Request For Comments 3561, 2003.
  6. Perkins, C. and Bhagwat, P. , "Highly dynamic destination-sequenced distance- vector routing (DSDV) for mobile computers", in ACM SIGCOMM '94 Conference on Communications Architectures, Protocols, and Applications, 1994, pp. 234–244.
  7. M. K. Marina and S. R. Das, "On-Demand multipath distance vector routing in ad hoc networks" in: Proceedings of the 9th IEEE International Conference on Network Protocols (ICNP), 2001
  8. Johnson, D. , Hu, Y. , and Maltz, D. , The Dynamic Source Routing Protocol (DSR) for Mobile Ad-Hoc Networks for IPv4, RFC 4728, Internet Engineering Task Force, February 2007.
  9. Saishree Bharadwaj, Rashmi, Shylaja B. S. , "Perfomance Evaluation of MANET Based Routing Protocols for VANETs in Urban Scenarios", International Conference on Network and Electronics Engineering, IACSIT Singapore, 2011.
  10. Omid Abedi, Mahmood Fathy, Jamshid Taghiloo, "Enhancing AODV Routing Protocol Using Mobility Parameters in VANET", 978-1-4244-1968-5/08/2008 IEEE.
  11. Ben Ding, Zehua Chen, Yan Wang, Hui Yu, "An Improved AODV Routing Protocol for VANETs",978-1-4577-1010-0/11 2011 IEEE.
  12. SUMO - Simulation of Urban Mobility, http://sumo. sourceforge. net
  13. F. Karnadi, Z. Mo, and K. -C. Lan, "Rapid Generation of Realistic Mobility Models for VANET", in Proc. IEEE Wireless Communication and Networking Conference (WCNC'07), March 2007.
  14. MOVE http://www. cs. unsw. edu. au/klan/move/
  15. Vaishali Khairner and Dr. S. N. Pradhan, "Mobility Models for Vehicular Ad-hoc Network Simulation", International Journal of Computer Applications , No. 4, Article 2, 2010.
  16. J´erˆome H¨arri, Fethi Filali, and Christian Bonnet, "Mobility Models For Vehicular Ad Hoc Networks: A Survey And Taxonom", IEEE Communications Surveys And Tutorials, Vol. 11, No. 4, Fourth Quarter 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Vehicular Ad-hoc Networks SUMO Ad-hoc On Demand Distance Vector Routing