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2012 (Vol. 4, Issue: 18)
Article Information:

Effect of Realistic Vehicular Traces on the Performance of Broadcasting Techniques in Vehicular Ad Hoc Networks

Sanjoy Das and D.K. Lobiyal
Corresponding Author:  Sanjoy Das 

Key words:  Ad hoc networks, flooding, IDM_IM, mobility model, packet delivery ratio, probabilistic broadcast, urban area
Vol. 4 , (18): 3439-3500
Submitted Accepted Published
April 27, 2012 May 18, 2012 September 15, 2012

In this study, performance analysis of different broadcasting methods i.e., flooding and probabilistic broadcasting inside the geocast region has been done. We have considered an urban scenario where radio transmission is obstructed due to presence of high rise buildings, trees and other objects. Our objective is to provide a comparative analysis between flooding and probabilistic methods with varying traffic density and nodes speed in VANET. Different values of probability for probabilistic broadcast method have been considered to investigate an appropriate value that may give best results. To generate real traces of vehicles movement VanetMobiSim is used. The mobility model considered is Intelligent Driver Model with Intersection Management. We have considered different types of traffic conditions based on number of vehicles present in the network in a particular time period are Sparse, Intermediate and Dense. The results obtained shows that in dense traffic scenario probabilistic broadcasting method achieves maximum packet delivery ratio is 83.9412% when p = 0.1. In sparsely populated network the PDR are low as compared to other traffic conditions. The minimum value of PDR obtained is 21.0455% when number of node is 50 and p = 0.8. Simulations have been conducted using the NS-2 simulator and for result analysis used awk programming, Matlab is used.
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  Cite this Reference:
Sanjoy Das and D.K. Lobiyal, 2012. Effect of Realistic Vehicular Traces on the Performance of Broadcasting Techniques in Vehicular Ad Hoc Networks.  Research Journal of Applied Sciences, Engineering and Technology, 4(18): 3439-3500.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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