VANET Routing Protocols in Real-World Mobility Tracing

Sarkar, Ratna R.; Chakrabarty, Amitabha; Rahman, Mohammad Zahidur

doi:10.1109/cicn51697.2021.9574672

Cited by 4 publications

(2 citation statements)

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“…In [13], the author proposes a scheduling algorithm based on VANET scenarios to improve traffic flow and reduce waiting time at intersections. In [14], the author analyzes the performance of VANET routing protocols in a real-world mobility tracing scenario using SUMO and NS3 simulators.…”

Section: Related Workmentioning

confidence: 99%

Optimizing VANET Communication through Realistic Traffic Simulation

Devendra Kumar

2023

tjjpt

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This article explores the optimization of communication in Vehicular Ad-Hoc Networks (VANETs) through the use of realistic traffic simulation in Raipur City, located in the state of Chhattisgarh. VANETs are a specialized type of Mobile Ad-Hoc Networks (MANETs) that enable vehicles to communicate with each other and with roadside infrastructure, improving road safety, traffic efficiency, and providing additional services. However, VANETs encounter challenges due to the dynamic nature of vehicular environments, including high mobility, intermittent connectivity, and varying traffic conditions. To address these challenges, this study proposes the Integration to Message Exchange (IME) method, which incorporates realistic traffic simulation into VANET communication optimization strategies. Realistic traffic simulation models vehicle behavior and interactions with the road network, considering factors such as traffic flow, congestion, and road conditions. By integrating this simulation into VANET communication optimization algorithms, the performance of the proposed IME method and other routing strategies is evaluated under realistic traffic scenarios. The results demonstrate that the IME method significantly improves message delivery rates and reduces message latency compared to the D-LAR and AODV routing methods. In comparison to the DLAR method, the IME method increases the packet delivery ratio by 4.82%, reduces end-to-end delay by 4.0%, increases throughput by 4.85%, decreases routing overhead by 8.79%, and normalizes routing load by 7.71%. The city of Raipur in Chhattisgarh is the geographical context for this research. Raipur is a rapidly growing urban area with diverse traffic patterns and road conditions. By conducting experiments and simulations in this specific setting, the findings of this study can directly address the challenges faced by VANETs in Raipur City.

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Section: Related Workmentioning

confidence: 99%

Optimizing VANET Communication through Realistic Traffic Simulation

Devendra Kumar

2023

tjjpt

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“…Due to the unique features of VANETs, highly dynamic topology, large number of nodes, sparse connectivity in specific regions, and very small number of static routers, optimization methods are essential for an efficient operation of real-world systems, particularly routing [6,7] and clustering [8] methods. Communications in the context of VANETs have been widely studied [9][10][11], and variety of routing algorithms have been developed [12,13]. Amongst them, bio-inspired algorithms can be highlighted [14], including the Ant Colony Optimization (ACO) [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

A Benchmark for Multi-Objective Routing in Vehicle Ad-Hoc Networks Using The Ant Colony Optimization Algorithm

Silva¹,

Lopes²

2021

Leran. Nonlin. Mod.

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The growing number of vehicles in cities has a great impact on our quality of life, such as air and noise pollution, traffic jams and traffic accidents. Cooperative Intelligent Transportation System (C-ITS) relies on communication technologies to provide innovative services and applications for transportation and traffic management. In the C-ITS context, users, roadside infrastructure and vehicles need to be connected and, for this purpose, a wide variety of wireless technologies can be used (e.g, vehicular WiFi, cellular and visible light communication). In this work we consider a VANET (Vehicular Ad-hoc NETwork) using vehicular WiFi (based on 802.11p). The communications in VANET networks have been studied for years and several routing algorithms have been developed for such a kind of network. However, a benchmark to compare the performance of such algorithms is still lacking. To fill this gap, the present work proposes a benchmark composed by instances of data routing for different scenarios in the VANET. Moreover, we propose a multi-objective algorithm based on ACO (Ant Colony Optimization) to compare with such benchmark. The results of simulations show the impact of several factors in the VANET connectivity, such as vehicle density, geographical location, propagation and fading models. The results are promising and indicate the importance of choosing appropriated simulation models.

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