An Optimized TCP for Internet Access of Vehicular Ad Hoc Networks

Bechler, Marc; Jaap, Sven; Wolf, Lars

doi:10.1007/11422778_70

Cited by 25 publications

(12 citation statements)

References 15 publications

(10 reference statements)

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“…Its design is based on the path characteristics that are relevant for a transport protocol for vehicular networks. Mobile Control Transport Protocol (MCTP) [5] is based on similar principles of the Ad Hoc TCP protocol [39]. Its main goal is to provide end-to-end QoS between a vehicle and an Internet host via a roadside infrastructure.…”

Section: Transport and Applications Layersmentioning

confidence: 99%

Data communication in VANETs: Protocols, applications and challenges

et al. 2016

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VANETs have emerged as an exciting research and application area. Increasingly vehicles are being equipped with embedded sensors, processing and wireless communication capabilities. This has opened a myriad of possibilities for powerful and potential life-changing applications on safety, efficiency, comfort, public collaboration and participation, while they are on the road. Although, considered as a special case of a Mobile Ad Hoc Network, the high but constrained mobility of vehicles bring new challenges to data communication and application design in VANETs. This is due to their highly dynamic and intermittent connected topology and different application's QoS requirements. In this work, we survey VANETs focusing on their communication and application challenges. In particular, we discuss the protocol stack of this type of network, and provide a qualitative comparison between most common protocols in the literature. We then present a detailed discussion of different categories of VANET applications. Finally, we discuss open research problems to encourage the design of new VANET solutions.

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Section: Transport and Applications Layersmentioning

confidence: 99%

Data communication in VANETs: Protocols, applications and challenges

et al. 2016

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“…In [8], a TCP based transport protocol MCTP is proposed to optimize end to end V2I communications. MCTP divides the system state into NORMAL, LOSS, CONGESTED, PARTITIONED, and DISCONNECTED states based on packet loss differentiation, and takes different reactions to each of the states.…”

Section: Introductionmentioning

confidence: 99%

Explicit rate based transmission control in vehicle to infrastructure communications

Shen

Zhang

2013

2013 IEEE/CIC International Conference on Communications in China (ICCC)

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Vehicle to infrastructure communications can provide mobile users with a series of Internet services, such as video streaming, digital map downloading, database access, online gaming, and even safety services like accident alarm, traffic condition broadcast, etc., through fixed roadside units. However, the dynamics of communication environment and frequent changing topology critically challenge the design of an efficient transport layer protocol, which makes it difficult to guarantee diverse quality of service (QoS) requirements for various applications. In this paper, we present a novel transport scheme in infrastructure based vehicular networks, and aim to resolve some challenging issues such as source transfer rate adjustment, congestion avoidance, and fairness in end to end data communications. By precisely detecting packet losses and identifying various causes of these losses (for example, link disconnection, channel error, packet collision, buffer overflow), the proposed scheme adopts different reacting mechanisms to each of the losses. Moreover, it timely monitors the buffer size of the bottleneck RSU, and dynamically makes transfer rate feedbacks to the source nodes to avoids buffer overflow or vacancy. Finally, simulation results show that the scheme not only successfully reduces packet losses due to buffer overflow and link disconnection but also improves the utilization efficiency of channel resource.

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“…Potential applications of VANETs include road safety [4], traffic monitoring [5], entertainment, and advertisements [6], delivering non-real-time Internet connectivity [7]. To enable these applications, a few important questions need to be answered: Is it possible to predict the link duration between any two connected vehicles?…”

Section: Introductionmentioning

confidence: 99%

Practical Link Duration Prediction Model in Vehicular Ad Hoc Networks

Wang

Chen

et al. 2015

International Journal of Distributed Sensor Networks

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Link duration prediction is one of the most fundamental problems in vehicular ad hoc networks (VANETs) as it determines the network performance of many vehicular applications. Existing analytical analysis about link duration in both mobile ad hoc network (MANETs) and VANETs is too complicated to be applied in a practical setting. Assuming vehicle's velocity follows the normal distribution, we propose a practical model which considers the distribution of relative velocity, intervehicle distance, and impact of traffic lights to estimate the expected link duration between any pair of connected vehicles. Such model is implemented on each vehicle along with (1) a relative velocity estimation approach and (2) an exponential moving average-(EMA-) based data processing procedure. Furthermore, the proposed model assumes that the events of two consecutive vehicles encountering traffic lights combination are dependent, which make the model more practical. Simulation results show that the link duration model predicts link duration with the average accuracy of 10% and 20% in highway and city scenarios, respectively.

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An Optimized TCP for Internet Access of Vehicular Ad Hoc Networks

Cited by 25 publications

References 15 publications

Data communication in VANETs: Protocols, applications and challenges

Data communication in VANETs: Protocols, applications and challenges

Explicit rate based transmission control in vehicle to infrastructure communications

Practical Link Duration Prediction Model in Vehicular Ad Hoc Networks

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