The Reliability of Routing Protocols as an Important Factor for Road Safety Applications in VANET-based Autonomous Cars

Sasongko, Ananto Tri; Jati, Grafika; Hardian, Bob; Jatmiko, Wisnu

doi:10.3844/jcssp.2020.768.783

Cited by 5 publications

(3 citation statements)

References 20 publications

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“…It is determined by dividing the number of data packets sent by the time taken for transmission. Higher values indicate efficient transfer, while lower values are associated with slower rates [29].…”

Section: Average Throughputmentioning

confidence: 99%

Learning Automata-Based AODV to Improve V2V Communication in A Dynamic Traffic Simulation

2024

IJIES

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The study introduces the learning automata-based AODV (LA-AODV) protocol to enhance vehicle-tovehicle (V2V) communication in dynamic vehicular Ad-hoc networks (VANETs). Existing routing protocols, such as Ad-hoc on-demand distance vector (AODV) protocols, face significant challenges, including low data transfer rates, higher delay times, lower throughput, and data congestion resulting from rapidly changing network topologies. LA-AODV addresses these issues by optimizing the quality of service (QoS) through the real-time selection of relay nodes based on vehicle speed, distance, and actual position parameters. Simulations were conducted at the Gadjah Mada university (UGM) roundabout in Yogyakarta, Indonesia, using SUMO and NS3 simulators. LA-AODV outperforms AODV with Packet Delivery Ratios ranging from 95% to 99% and Average Throughputs between 36.90 Kbps and 56.50 Kbps. Although LA-AODV exhibits slightly higher End-to-End Delays, it effectively mitigates Packet Loss Ratios ranging from 1% to 4%. These enhancements optimize routing decisions, reduce communication overhead, and enhance network resource utilization.

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Section: Average Throughputmentioning

confidence: 99%

Learning Automata-Based AODV to Improve V2V Communication in A Dynamic Traffic Simulation

2024

IJIES

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“…Modeling of the communication (e.g., V2V, V2I) in traffic simulation have commonly been done either by changes in the parameters or driving behavior models or by coupling a traffic simulation model with a wireless network simulator [e.g., 111], [ 112], [ 113]. An overview of simulators for vehicular ad-hoc networks (VANETs) is given in [111] and examples of simulation platforms that combines the wireless network and traffic simulators can be found in [112], [113].…”

Section: E Vehicle Connectivitymentioning

confidence: 99%

Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice

Farah

Postigo²,

Reddy

et al. 2023

IEEE Trans. Intell. Transport. Syst.

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The gradual deployment of automated vehicles on the existing road network will lead to a long transition period in which vehicles at different driving automation levels and capabilities will share the road with human driven vehicles, resulting into what is known as mixed traffic. Whether our road infrastructure is ready to safely and efficiently accommodate this mixed traffic remains a knowledge gap. Microscopic traffic simulation provides a proactive approach for assessing these implications. However, differences in assumptions regarding modeling automated driving in current simulation studies, and the use of different terminology make it difficult to compare the results of these studies. Therefore, the aim of this study is to specify the aspects to consider for modeling automated driving in microscopic traffic simulations using harmonized concepts, to investigate how both empirical studies and microscopic traffic simulation studies on automated driving have considered the proposed aspects, and to identify the state of the practice and the research needs to further improve the modeling of automated driving. Six important aspects were identified: the role of authorities, the role of users, the vehicle system, the perception of surroundings based on the vehicle's sensors, the vehicle connectivity features, and the role of the infrastructure both physical and digital. The research gaps and research directions in relation to these aspects are identified and proposed, these might bring great benefits for the development of more accurate and realistic modeling of automated driving in microscopic traffic simulations.

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“…Routing protocols are widely divided, according to the nature of their routing information updating process, into three main categories: Reactive, Proactive, and Hybrid [17,18,19] as in figure 4.…”

Section: Routing Protocols For Ioavmentioning

confidence: 99%

Internet of autonomous vehicles communication infrastructure: A short review

Alhabib¹,

Ali²

2023

Diagnostyka

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Recent years have witnessed increased attention towards vehicular communications as a part of an overall modernization trend towards the emergence of a reliable, less human-dependent, and more efficient Intelligent Transportation System (ITS) conjugated with the rapid growth of smart cities. ITS imposes better safety and security through the employment of Autonomous Vehicles (AV) to reduce the possibility of accidents caused due to human intervention. The application of autonomous vehicles to the traditional Vehicular Ad-hoc Networks (VANET) has paved the way for the development of a newer networking paradigm called the Internet of Autonomous Vehicles (IoAV). IoAV enjoys several advantages over VANET in terms of robustness, security, and scalability. However, due to the gradual transition from existing vehicles to autonomous ones, both types may be going to coexist together in the same environment. Therefore, a reliable, fast responsive, and flexible infrastructure is necessary to serve both kinds in such a hybrid setting until the transition to all AV is completed. In this context, this paper represents a concise review of the architecture of IoAV infrastructure, its communication modules, message dissemination, protocols and services that comprise the main body of the IoAV framework, in addition to further remarks and research challenges.

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The Reliability of Routing Protocols as an Important Factor for Road Safety Applications in VANET-based Autonomous Cars

Cited by 5 publications

References 20 publications

Learning Automata-Based AODV to Improve V2V Communication in A Dynamic Traffic Simulation

Learning Automata-Based AODV to Improve V2V Communication in A Dynamic Traffic Simulation

Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice

Internet of autonomous vehicles communication infrastructure: A short review

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