Vehicular cloud networks: Challenges, architectures, and future directions

Mekki, Tesnim; Jabri, Issam; Rachedi, Abderrezak; Jemaa, Maher Ben

doi:10.1016/j.vehcom.2016.11.009

Cited by 113 publications

(94 citation statements)

References 48 publications

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“…Vehicular cloud computing was one of the solutions to overcome the resource limitations of ITS vehicular networks. However, bandwidth scarcity and connectivity are the major challenges in realizing vehicular cloud . Vehicular fog computing is the paradigm that combines fog computing with vehicular networks.…”

Section: Fog Computing Aspectsmentioning

confidence: 99%

Elucidating the challenges for the praxis of fog computing: An aspect‐based study

Martin

Kandasamy

Chandrasekaran

et al. 2019

Int J Communication

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Summary The evolutionary advancements in the field of technology have led to the instigation of cloud computing. The Internet of Things paradigm stimulated the extensive use of sensors distributed across the network edges. The cloud datacenters are assigned the responsibility for processing the collected sensor data. Recently, fog computing was conceptuated as a solution for the overwhelmed narrow bandwidth. The fog acts as a complementary layer that interplays with the cloud and edge computing layers, for processing the data streams. The fog paradigm, as any distributed paradigm, has its set of inherent challenges. The fog environment necessitates the development of management platforms that effectuates the orchestration of fog entities. Owing to the plenitude of research efforts directed toward these issues in a relatively young field, there is a need to organize the different research works. In this study, we provide a compendious review of the research approaches in the domain, with special emphasis on the approaches for orchestration and propose a multilevel taxonomy to classify the existing research. The study also highlights the application realms of fog computing and delineates the open research challenges in the domain.

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Section: Fog Computing Aspectsmentioning

confidence: 99%

Elucidating the challenges for the praxis of fog computing: An aspect‐based study

Martin

Kandasamy

Chandrasekaran

et al. 2019

Int J Communication

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“…Every vehicle must continuously send beacon (Hello) packets with their position information and other vehicle identification parameters. Position based protocols are suitable for VANETs since they offer higher delivery ratio than topology based routing protocols in a highly mobile environment [10]. They provide minimum delay in establishing the route path and achieve good scalability.…”

Section: Unicast Position-based Routing Protocolsmentioning

confidence: 99%

“…GPSR relies on distributed algorithm for graphs. In the presence of radio problems such as tall buildings in city environment, these algorithms frequently partition an otherwise connected graph, making the delivery of packets impossible [10].…”

Section: Non-delay Tolerant Network (Non-dtn)mentioning

confidence: 99%

Performance Evaluation for a Unicast Non Delay Tolerant Position based Routing Protocols in VANETs

Abdalla¹

2018

IJCA

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Vehicular Ad hoc Networks are special kind of Mobile Ad Hoc Networks. VANET is an emerging technology, which enables an extensive range of applications, including road safety, passenger convenience, self-driven vehicles, and intelligent transportation.Routing in Vehicular Ad hoc Networks is a challenging task due to the unique characteristics of the network. Unicast routing protocols in VANETs are the most fundamental protocols in ad hoc environment and they form the basis for constructing other types of protocols. Unicast routing protocols further classified into topology based, position based, cluster based and hybrid protocols.In this paper protocols belonging to unicast non-delay tolerant position based are discussed. We have implemented our comparison on the NS2 simulator. Simulation of NDT routing protocols A-STAR, CAR, and GyTAR are carried out and the results are presented.

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“…[18] uses another cluster mobility model and argued that there is no best opportunistic protocol in terms of delivery performance for generic topologies and mobility models. Vehicular clouds associated with their different unique features are overviewed in detail in [27]. The authors presented several emergent problems in vehicular cloud (e.g.…”

Section: Related Workmentioning

confidence: 99%

A novel cross-layer framework for large scale emergency communications

Huynh

Radenkovic

2017

2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)

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Abstract-This paper explores the problem of improving coverage and capacity of large-scale communication networks in disaster-struck areas. We propose a novel integrated dynamic cross-layer distributed energy aware emergency framework, E 3 F, that spans large geographical areas and variable time ranges. E 3 F enables adaptive storage, dynamic packet scheduling and utility driven forwarding that avoids congestion and energy depletion. Our extensive experiments with realistic traces show significantly improved energy efficiency and low overheads while maintaining high success ratios for both data dissemination and query answering.

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Vehicular cloud networks: Challenges, architectures, and future directions

Cited by 113 publications

References 48 publications

Elucidating the challenges for the praxis of fog computing: An aspect‐based study

Elucidating the challenges for the praxis of fog computing: An aspect‐based study

Performance Evaluation for a Unicast Non Delay Tolerant Position based Routing Protocols in VANETs

A novel cross-layer framework for large scale emergency communications

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