Abstract
Vehicular Ad-hoc Networks (VANET) is an advanced wireless network that came to increase traffic safety, efficiency and to improve driving experience. The high mobility of nodes is the major characteristic in these networks. The aim of this paper is to figure out the impact of various mobility models on the performance of Ad-hoc On-demand Distance Vector (AODV), Cluster-Based Directional Routing (CBDR) and Greedy Perimeter Stateless Routing (GPSR) protocols. In this study, we analyze the performance of these routing protocols in different mobility models namely: Street Random Waypoint (STRWP), Gauss Markov and Freeway having varying speed. The simulation results show that STRWP provides a good performance with the three routing protocols in terms of packet delivery ratio, throughput and end to end delay.
Highlights
Vehicular Ad-hoc Networks (VANET) is an autonomous and self-organizing wireless communication network, where vehicles act as mobile nodes, to supply communications amid vehicles, between vehicles and interfaces named Roadside Unit (RSU) (Houmer et al, 2018)
This study is in regard to three performance metrics: Packet Delivery Ratio (PDR), Throughput and End-to-End delay
If we compared the three routing protocols in the different mobility model, we notice that Greedy Perimeter Stateless Routing (GPSR) attains a higher packet delivery ratio varying between 91 and 51 for freeway model, 66 and 44 for Gauss Markov and 77 and 51 for street random waypoint mobility model
Summary
Vehicular Ad-hoc Networks (VANET) is an autonomous and self-organizing wireless communication network, where vehicles act as mobile nodes, to supply communications amid vehicles, between vehicles and interfaces named Roadside Unit (RSU) (Houmer et al, 2018). Ad-hoc routing protocols must adapt to its specific features, for having the exact performance measurements in VANET. Mobility is the main restraint faced in the vehicular networks, for that reason the performance investigations of vehicular network routing requisite the accurate prediction of nodes mobility and this is achieved by the great choice of the mobility model. We introduce the different mobility models utilized in the simulation. We detail metrics used to evaluate the routing protocols in the mobility models.
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