VCAR: Scalable and Adaptive Data Dissemination for VANET

Naveen, K. P.; Karuppanan, Komathy

doi:10.1007/978-3-642-22720-2_65

Cited by 4 publications

(6 citation statements)

References 6 publications

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“…Vehicle density is generally higher at junctions than on straight roads, and thus the packet loss rate tends to increase as the velocity of a vehicle increases in junctions. Vehicular routing assisted by clustering is introduced in [92] for network scalability. The moving clusters enhance the connection establishment time and message delivery ratio.…”

Section: E Cluster-based Approachesmentioning

confidence: 99%

“…Contributions [91] Maintains long-lived routes where the most sustainable path is adaptively selected on the basis of signal strength, beacon, and node mobility [92] The network is divided into clusters which move along with vehicles for supporting data dissemination at road junctions [93] The proposed clustering scheme enhances the broadcast traffic [94] Introduces a rider optimization algorithm to select neighbor nodes in order to ensure network lifetime [95] Considers DDOS attack to monitor the position of the sender field station, where the trustworthiness of data packets is tested [96] Designs a centralized clustering approach with a data transmission optimization method for cellular-V2X hybrid vehicular networks…”

Section: Itemmentioning

confidence: 99%

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A Survey of VANET/V2X Routing From the Perspective of Non-Learning- and Learning-Based Approaches

Chatterjee¹,

Karmakar

Kaddoum

et al. 2022

IEEE Access

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Intelligent transportation systems (ITSs) have become increasingly popular because they support effective coordination in connected vehicles. ITSs present an integrated approach for exchanging relevant information in order to improve the safety, efficiency, and reliability of road transportation systems. A variant of mobile ad-hoc networks (MANETs) called vehicular ad-hoc networks (VANETs) are an integral component of ITSs. VANETs consist of interconnected vehicles with sensing abilities that exchange information related to traffic, positioning, weather, and emergency services. In general, vehicle-to-everything (V2X) refers to communications between any entity and a vehicle, where the entity may be a vehicle, a cloud-based network, a pedestrian, or equipment installed along a road. One of the crucial challenges in V2X is the reliable and timely circulation of information among vehicular nodes to allow drivers to make decisions that increase road safety. In this context, efficient V2X routing protocols play a key role in supporting reliability and safety, and enhancing the overall quality of service (QoS) in VANETs. However, VANETs have distinct characteristics, such as high vehicular node mobility, unsteady connectivity, rapid changes in network topology, and unbounded network size, that can significantly affect routing in the network. Various routing protocols for V2X communication exist in the open technical literature. In this survey, we categorize the routing mechanisms as non-learning-and learning-based approaches, and discuss existing V2X routing protocols and their contributions to and impacts on VANET performance. Here, the learning-based approach implies the use of machine learning algorithms. This survey also summarizes open challenges in designing effective V2X routing protocols and future research directions to consider when developing smart routing mechanisms for next-generation intelligent VANET technologies.INDEX TERMS VANET, V2X, routing protocol, non-learning-based routing, learning-based routing.

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Section: E Cluster-based Approachesmentioning

confidence: 99%

Section: Itemmentioning

confidence: 99%

A Survey of VANET/V2X Routing From the Perspective of Non-Learning- and Learning-Based Approaches

Chatterjee¹,

Karmakar

Kaddoum

et al. 2022

IEEE Access

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“…This section includes a review of different available architectures and previous works regarding videowall systems, together with a qualitative comparison of their advantages and drawbacks, including the one presented in this paper. Works describing middleware to implement tiled-video systems (such as the ones in [10][11][12][13][14][15]) have also been consulted but the inclusion of their description in this paper was discarded because the design of another middleware is out of the scope of this paper. Nevertheless, due to the similar functionalities that are provided by the SAGE2 system (described in [11]), it was tested by the authors.…”

Section: State Of the Artmentioning

confidence: 99%

Low-cost tiled display system architecture with dynamic web-based management

et al. 2022

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“…30 In this protocol, vehicles approaching a road intersection switch to junction mode and deliver the packet to a special node located in the middle of the junction, called static node. 30 In this protocol, vehicles approaching a road intersection switch to junction mode and deliver the packet to a special node located in the middle of the junction, called static node.…”

Section: Cluster-based Routing Protocolsmentioning

confidence: 99%

“…The vehicular cluster assisted routing protocol (VCAR) is proposed to operate in dense traffic conditions and deals with junction mode. 30 In this protocol, vehicles approaching a road intersection switch to junction mode and deliver the packet to a special node located in the middle of the junction, called static node. This node checks periodically its environment and detects neighbour clusters moving in the same direction of destination vehicle(s).…”

Section: Cluster-based Routing Protocolsmentioning

confidence: 99%

Cluster‐based emergency message dissemination strategy for VANET using V2V communication

Benkerdagh

Duvallet

2019

Int J Communication

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Data dissemination in vehicular ad hoc network (VANET) is emerging as a critical area of research. One of the challenges posed by this domain is the reliability of connection, which depends on many parameters, such as the bandwidth consumption, transmission delay, and data quality of service (QoS). Dissemination of emergency messages is very critical since the network topology is changing frequently and rapidly, which leads to data loss. So, it is necessary to develop new protocols and enhance dissemination schemes in VANET to avoid more emergencies and hazards cases. In this regard, we have proposed a new strategy, which consists of data handling before dissemination process as the first step of our scheme. In this phase, the original message is optimized in order to reduce the number of exchanged packets. The second part of this proposition consists of constructing fast and stable clusters to improve the message delivery time and to procure efficient bandwidth consumption. This approach is based on a Fitness function, which takes into account different parameters such as the transmission period, the connectivity degree, the relative velocity, and the link lifetime validity. Since exchanging data in VANET is an important process, routing phase is proposed to perform data exchange among clusters. It is based on a rapid and real-time heuristic (real-time adaptive A* [RTAA*]). To evaluate the reliability of the proposed approach, an urban scenario is used with different simulation parameters. The simulation results show that our proposed approach presents a better stability and efficiency performance compared with the discussed approaches. The proposed approach improves the performance of cluster duration (5% − 25%), delivery rate (2% − 8%), and the overhead (5% − 35%) on average compared with the discussed approaches. KEYWORDS clustering algorithm, data dissemination, Fitness function, quality of service, routing, transmission delay Int J Commun Syst. 2019;32:e3897.wileyonlinelibrary.com/journal/dac

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VCAR: Scalable and Adaptive Data Dissemination for VANET

Cited by 4 publications

References 6 publications

A Survey of VANET/V2X Routing From the Perspective of Non-Learning- and Learning-Based Approaches

A Survey of VANET/V2X Routing From the Perspective of Non-Learning- and Learning-Based Approaches

Low-cost tiled display system architecture with dynamic web-based management

Cluster‐based emergency message dissemination strategy for VANET using V2V communication

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