A New AODV Based Forecasting Link Breakage Indicator for VANETs

Bourebia, Soumia; Hilt, Benoit; Drouhin, F.; Lorenz, Pascal

doi:10.1109/globecom38437.2019.9013385

Cited by 5 publications

(2 citation statements)

References 18 publications

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“…As the routing protocol between cluster heads, it is still common to find variations of classical algorithms-such as AODV or OLSR-to use the most reliable routes from source to destination. For example, in [39] the traditional system for the detection of route breakages (based on the loss of HELLO messages) was replaced by a forecasting indicator that used information about errors in the decoding of OFDM packets. The authors of [40], in turn, developed a framework that analyzes network resources in order to adjust the relationship between topology changes and QoS needs, aiming to decrease the load on the VANET and thereby improve scalability.…”

Section: Routing Protocols In Vanetsmentioning

confidence: 99%

VaNetChain: A Framework for Trustworthy Exchanges of Information in VANETs Based on Blockchain and a Virtualization Layer

et al. 2020

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Vehicular ad hoc networks (VANETs) face challenges related to the reliability of the data exchanged and the unstability of the communication links. These shortcomings have hampered the development of the long-awaited applications that would turn roads into a smart environment. We present a framework to deploy such services, in which a virtualization layer ensures means to efficiently deliver messages between vehicles and roadside units (RSUs) and, on top of that, blockchain technology is used to enable features of data integrity, traceability, and reliability that cannot be furnished by existing consensus and reputation mechanisms. A simulation experiment is included to determine the optimal number of RSUs to be installed as supporting infrastructure in a city.

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Section: Routing Protocols In Vanetsmentioning

confidence: 99%

VaNetChain: A Framework for Trustworthy Exchanges of Information in VANETs Based on Blockchain and a Virtualization Layer

et al. 2020

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“…Canal conditions affect the link quality and rend its estimation more difficult [5]. A routing protocol designed for VANETs should be capable of routing data packets from a given source to a given destination successfully in compliance with the quality requirements of service requested [6]. In this case, routing protocols depend on link quality estimation metrics to offer the best data delivery service.…”

Section: Introductionmentioning

confidence: 99%

Link State Estimator for VANETs Using Neural Networks

Ikhlef,

Bourebia,

Melit

2023

J Netw Syst Manage

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In Vehicular Ad-hoc NETworks (VANETs), it is important to consider the quality of the path used to forward data packets. Because of the fluctuating conditions of VANETs, stringent requirements have been imposed on routing protocols and thus complicating the entire process of packet delivery. To determine which path is the best, a routing protocol relies on a path assessment mechanism. In this paper, the problem of link quality estimation in VANET networks is addressed. Based on the information gathered from the packet decoding errors at the physical layer, a novel link quality estimator is proposed. The proposed link quality estimator named LSENN for Link State Estimator based on Neural Networks, has been tested under realistic physical layer and mobility models for reactivity, accuracy and stability evaluation.

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Reduction of Frequent Link Disconnection Problem for Reliable Connection in Internet of Vehicles (IoV)

Mani,

Vasanth

2023

2023 Second International Conference on Advances in Computational Intelligence and Communication (ICACIC)

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A New AODV Based Forecasting Link Breakage Indicator for VANETs

Cited by 5 publications

References 18 publications

VaNetChain: A Framework for Trustworthy Exchanges of Information in VANETs Based on Blockchain and a Virtualization Layer

VaNetChain: A Framework for Trustworthy Exchanges of Information in VANETs Based on Blockchain and a Virtualization Layer

Link State Estimator for VANETs Using Neural Networks

Reduction of Frequent Link Disconnection Problem for Reliable Connection in Internet of Vehicles (IoV)

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