Performance Analysis FSR and DSR Routing Protocol in VANET with V2V and V2I Models

Akbar, Renal Zikriyan; Istikmal,; Sussi,

doi:10.1109/isriti51436.2020.9315367

Cited by 11 publications

(4 citation statements)

References 6 publications

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“…V2V, V2I [52], [53] not as important as it is in applications where safety is at risk. (c) Infotainment and Passenger Comfort: The goal of these applications is to improve the driving experience and provide entertainment for passengers.…”

Section: Adaptation To Different Scenariosmentioning

confidence: 99%

The potential of SDNs and multihoming in VANETs: A Comprehensive Survey

Sarpong,

Sousa,

Araújo

2024

Preprint

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Vehicle Ad-hoc Networks (VANETs) plays an essential role in enhancing safety, passenger services, and traffic management. VANETs often suffer from reliability issues and delays due to their dynamics. Multihoming, where vehicles communicate over multiple networks, is a possible approach to mitigate these problems. In this paper, we present a comprehensive survey exploring the integration of multihoming with Software-Defined Networking (SDN), Programming Protocol-independent Packet Processors (P4), and Service Function Chaining (SFC) in VANETs, a set of technologies that play an important role in modern computer networks. To select the papers to be analyzed in our survey, we used a four-stage process, starting on keyword searching and consisting of multiple filtering and a final grouping step. This process resulted in 300 research papers from 2009 to 2023. Our analysis revealed the importance of routing techniques tailored for dynamic VANET environments, highlighting the critical challenge of delays resulting from intermittent connectivity and rapid topology changes. To the best of our knowledge, available literature does not consider the integration of SDNs, P4, and SFC to improve connectivity in VANETs: some SDN applications include VANETs support but previous research tends to consider the use of P4 and SFC within data center contexts and security applications. Since P4 can simplify traffic management, SFC can help supporting services and policies, and technologies like MultiRadio Access Technologies (M-RAT) can enable multihoming, the possibility of using SDNs with these technologies to support multihoming in VANET lays the foundation for future progress in vehicular communication systems. This approach shows potential for new developments and challenges, taking into account future trends and directions.

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Section: Adaptation To Different Scenariosmentioning

confidence: 99%

The potential of SDNs and multihoming in VANETs: A Comprehensive Survey

Sarpong,

Sousa,

Araújo

2024

Preprint

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“…But the routing protocol may incur more overhead, which could increase the load on the VANETs. The performance evaluation of topology-based proactive and reactive routing protocols for VANETs is discussed in Akbar et al 15 The authors built simulation models to evaluate fish-eye state routing (FSR) and dynamic state routing (DSR) protocols and evaluate their performance by increasing the vehicle density, vehicle speed, and packet sizes. In the above papers, routing protocols are proposed and evaluated for a normal VANET environment, whereas in this paper, we discuss a VANET model that includes an emergency vehicle transit, and in addition, four different routing scenarios for emergency vehicle transit are presented.…”

Section: Literature Surveymentioning

confidence: 99%

V2X-assisted emergency vehicle transit in VANETs

Kaja,

Stoehr,

Beard

2023

SIMULATION

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Vehicular ad hoc networks (VANETs) can support safety-critical applications such as the safe and fast movement of emergency vehicles while preventing crashes, delays, and congestion involving emergency vehicles. A simulation approach to evaluate ambulance transit using VANET capabilities is presented in this paper for a real-life road network taken in and around the University of Missouri–Kansas City, USA. Three different VANET functional scenarios are compared with a base scenario (SC-1) which depicts the present-day traffic pattern and vehicle behaviors. In the three scenarios, the second one (SC-2) adds vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications along with the present-day traffic pattern; ambulances use VANETs simply to announce their arrival. The third scenario (SC-3) provides functionalities for ambulances to rerouting when they learn about a current or an anticipated road congestion. And the fourth scenario (SC-4) adds vehicle rerouting capabilities, so ambulance routes can be sent to vehicles, and they can avoid the ambulance path. Performance results are presented and evaluated for metrics such as delay, packet drop ratio, the average speed of the ambulance, average vehicle density, and ambulance message interval time. From the simulation results, it was observed that the ambulance transit time reduces by 12.52%, 14.65%, and 18.75% for SC-2, SC-3, and SC-4, respectively, as compared with SC-1, while the average ambulance speed increases by 14.49%, 15.57%, and 20.90% for SC-2, SC-3, and SC-4, respectively, when compared with SC-1. This paper provides substantial evidence that VANET capabilities for emergency vehicles can enhance crash protection and reduce the commute time for emergency response.

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“…However, Reference 15 did not investigate multihop task offloading path selection. To address this issue, Akbar et al 16 analyzed the performance of simultaneous V2V and V2I routing protocols. Nevertheless, in Reference 16, the situation when the vehicle is out of RSU coverage is not considered.…”

Section: Introductionmentioning

confidence: 99%

“…To address this issue, Akbar et al 16 analyzed the performance of simultaneous V2V and V2I routing protocols. Nevertheless, in Reference 16, the situation when the vehicle is out of RSU coverage is not considered. Liu et al 17 propose an elastic‐segment‐based V2I and V2V cooperative strategy to overcome the situation that vehicles are not covered by RSU.…”

Section: Introductionmentioning

confidence: 99%

Dingo‐optimization‐based task‐offloading algorithm in multihop V2V/V2I‐enabled networks

Song

Wang

Xie

et al. 2023

Trans Emerging Tel Tech

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In the Vehicle‐to‐Vehicle‐ (V2V) and Vehicle‐to‐Infrastructure‐ (V2I) enabled edge computing networks, the task vehicle may fail to offload tasks to the nodes outside the one‐hop communication with high computing resources, resulting in longer offloading time. Therefore, in this paper, we first construct a multihop V2V/V2I communications‐enabled edge computing architecture, which innovatively adopts vehicles and roadside units (RSUs) task offloading jointly to expand the communication resources of the task vehicle. Then, for the offloading node selection strategy, we create a vehicle adjacency table and propose a quickly depth‐first search‐based scheme to search the optimal multihop path. Finally, we develop an optimal offloading scheme based on the discrete dingo optimization algorithm (DDOA) to solve the task‐processing‐time minimization problem, which can converge quickly and achieve lower task offloading latency. Each dingo in DDOA is designed to choose one of the group attack, persecution, and scavenger strategies to search the solution space and accelerate the convergence of the DDOA by a survival rule. The numerical experimental results reveal that our proposed algorithm can outperform the other algorithms and reduce the delay time by 80% compared with the local scheme.

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Performance Analysis FSR and DSR Routing Protocol in VANET with V2V and V2I Models

Cited by 11 publications

References 6 publications

The potential of SDNs and multihoming in VANETs: A Comprehensive Survey

The potential of SDNs and multihoming in VANETs: A Comprehensive Survey

V2X-assisted emergency vehicle transit in VANETs

Dingo‐optimization‐based task‐offloading algorithm in multihop V2V/V2I‐enabled networks

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