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Performance Evaluation of AOMDV on Realistic and Efficient VANet Simulations - 2021

Author(s) Name:  Rana Muhammad Waseem,Farrukh Zeeshan Khan,Muneer Ahmad,Anum Naseem,N. Z. Jhanjhi,Uttam Ghosh
Journal name:  Wireless Personal Communications
Conferrence name:  
Publisher name:  Springer
DOI:  10.1007/s11277-021-08358-7
Research Area:  Vehicular Ad Hoc Networks
Abstract:

The digital transmission amongst vehicles and roadway equipment is necessary for the realization of smart transportation systems. Vehicular ad-hoc network (VANet) is an ascension field of engineering that presents brilliant transport applications, road safety, comfort and luxury to drivers. VANet protocols face many challenges because of the changing nature of vehicular ad-hoc network. VANet routing protocols perform a vital role in terms of the performance efficiency because they decide the mode of sending and receiving packets between mobile vehicular nodes. Finding suitable and efficient routing protocol is very important for the efficient implementation of VANet. The foremost objective of this research is to suggest the relevant and efficient VANet routing protocols in a high traffic density area. This research work presents a practical evaluation of the VANet topologys features with respect to time for the high traffic situations.This evaluation incorporates the actual creation of roadway layout. An accurate traffic flow is produced by extracting run-time facts and figures from PeMS (Freeway Performance Measurement System) database and assigning this extracted information into a microscopic mobility model. To achieve our goal, we consider three routing protocols i.e., AOMDV, AODV and DSDV. The simulation results prove that the performance of AOMDV is greater in comparison to DSDV and AODV protocols in high traffic density areas. The AOMDV protocol improves overall network performance by achieving maximum throughput and minimum end to end delay.

Volume Information:  
Journal Link:

https://link.springer.com/article/10.1007/s11277-021-08358-7