An Approach for Receiver-Side Awareness Control in Vehicular Ad Hoc Networks

Rodriguez, Victor Diez; Detournay, Jerome; Vinel, Alexey; Lyamin, Nikita

doi:10.1109/tits.2017.2749966

Cited by 7 publications

(3 citation statements)

References 23 publications

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“…It becomes the point of interest on how to give priority and develop priority queues based on the message types e.g. safety general, safety-critical, video etc [42]. 3) Cross-layering and reliability -VANETs use wireless medium to communicate.…”

Section: Challenges For Vanetsmentioning

confidence: 99%

Congestion Avoidance in Vehicular Networks: A Contemporary Survey

et al. 2019

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Congestion in vehicular ad hoc networks affects the performance of delay-sensitive applications when exchanging emergency or general information sharing messages. In particular, during emergencies on roads like road accidents and security warnings demand high reliability and low latency. However, in traditional solutions, such messages use the same control channel for transmission leading up to a saturated or congested channel. Furthermore, the highly dynamic nature of vehicular networks leading up to unpredictable routing patterns, subsequently degrading the network performance. An uneven deliverance of these critical messages can be catastrophic for the delay-sensitive applications. Thus, congestion control remains one of the most challenging problems within the domain of vehicular networks. This paper provides a comprehensive overview of the working of vehicular networks, the recent research advances to cater for congestion in such networks, and open problems and challenges relevant to congestion avoidance. INDEX TERMS Ad hoc vehicular network, congestion avoidance, power-based, rate-based, priority-based, clustering-based, CSMA/CA-based, hybrid, vehicular simulation. NOMENCLATURE ACRONYMS

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Section: Challenges For Vanetsmentioning

confidence: 99%

Congestion Avoidance in Vehicular Networks: A Contemporary Survey

et al. 2019

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“…Lai et al [ 6 ] have proposed an average packet loss rate analysis model for vehicle-to-vehicle multi-hop broadcasting taking into account the mobility of vehicles, wireless channel conditions, and media access control (MAC). Rodriguez et al [ 7 ] have proposed a streamwise queuing system on the receiver side to filter out the unimportant messages in a congestion situation. Alotaibi et al [ 8 ] have proposed area-based dissemination protocols in vehicular networks with heterogeneous transmission powers.…”

Section: Related Workmentioning

confidence: 99%

“…There have been many studies discussing the routing problem in VANETs [ 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 ]. However, the unicast routing problem and broadcast problem have been discussed separately.…”

Section: Introductionmentioning

confidence: 99%

A Context-Aware Edge-Based VANET Communication Scheme for ITS

Yoshinaga

et al. 2018

Sensors

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We propose a context-aware edge-based packet forwarding scheme for vehicular networks. The proposed scheme employs a fuzzy logic-based edge node selection protocol to find the best edge nodes in a decentralized manner, which can achieve an efficient use of wireless resources by conducting packet forwarding through edges. A reinforcement learning algorithm is used to optimize the last two-hop communications in order to improve the adaptiveness of the communication routes. The proposed scheme selects different edge nodes for different types of communications with different context information such as connection-dependency (connection-dependent or connection-independent), communication type (unicast or broadcast), and packet payload size. We launch extensive simulations to evaluate the proposed scheme by comparing with existing broadcast protocols and unicast protocols for various network conditions and traffic patterns.

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A traffic‐centric fuzzy approach for solving the starvation problem of cooperative awareness messages in vehicular ad hoc networks

Abdollah

Zarei

2021

Int J Communication

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Congestion problem in vehicular ad hoc networks (VANETs) is one of the main factors that negatively affect the inter-vehicle communication (IVC) efficiency of such emerging networks. Decentralized congestion control (DCC) is an effective method for overcoming the congestion problem. However, lower priority packets such as cooperative awareness messages (CAMs) may be encountered with the starvation problem in the DCC approach. This paper proposes FDCC: a traffic-centric Fuzzy DCC approach for improving CAMs delivery ratio, especially in congested traffic flows. FDDC architecture consists of four fuzzy inference systems (FISs). The inter-vehicle distance (IVD) and the speed variation are the spatiotemporal fuzzy inputs, which are customized for both single direction and multi-direction scenarios. Based on the FIS outputs, the FDCC control system, unlike the DCC, provides a way for processing starved CAMs by ignoring unnecessary even-driven messages. The obtained simulation results through OMNET++ in both single and multi-direction scenarios show the efficiency of FDCC in terms of the end-to-end delay, network throughput, and packet delivery ratio for event-driven messages as well as essential CAMs.

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An Approach for Receiver-Side Awareness Control in Vehicular Ad Hoc Networks

Cited by 7 publications

References 23 publications

Congestion Avoidance in Vehicular Networks: A Contemporary Survey

Congestion Avoidance in Vehicular Networks: A Contemporary Survey

A Context-Aware Edge-Based VANET Communication Scheme for ITS

A traffic‐centric fuzzy approach for solving the starvation problem of cooperative awareness messages in vehicular ad hoc networks

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