Vehicular cloud networking: architecture and design principles

Lee, Euisin; Lee, Eun-Kyu; Gerla, Mário; Oh, Soon Y.

doi:10.1109/mcom.2014.6736756

Cited by 344 publications

(149 citation statements)

References 13 publications

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“…The particularities of VANET make it a very interspersing domain which deserves in the last years several studies addressing different aspects, such as: applications [6,7], communication [8], security [9,10], routing protocols [11,12,13], access [14] and cloud computing in VANETs [15,16,17].…”

Section: Figure 1 Vanet Communication Architecturementioning

confidence: 99%

High availability of charging and Billing In Vehicular ad hoc Network

Darqaoui¹,

Bah²,

Sebgui³

2018

EAI Endorsed Transactions on Smart Cities

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VANET (Vehicular Ad Hoc Network) is actually an important field for the development of a variety of services. In VANET charging and billing of services could not be enabled in the same way as in classical mobile and fix networks and MANET (Mobile Ad Hoc Network) because of the characteristics of such network namely the high speed of nodes, frequent disconnection between nodes, rapidly changing topology and the large size of the network. The purpose of this work is to propose a flexible high level charging and billing scheme to allow a high availability of the charging and billing process in VANET.

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Section: Figure 1 Vanet Communication Architecturementioning

confidence: 99%

High availability of charging and Billing In Vehicular ad hoc Network

Darqaoui¹,

Bah²,

Sebgui³

2018

EAI Endorsed Transactions on Smart Cities

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“…If there is no such node, the node with the largest PA value is selected as the next-hop node of . This strategy of using PA still holds in any separate URA cases because the condition ≤ ≤ in (2) implies that the azimuth of the destination at a node must be in 's URA ∼ for to be considered as a to-be next-hop node.…”

Section: Selection Of the Next-hopmentioning

confidence: 99%

“…Multihop wireless networks such as mobile ad hoc networks (MANETs) [1], vehicular ad hoc networks (VANETs) [2], and wireless sensor networks (WSNs) [3] can extend the coverage of wireless communications by providing communications through multiple wireless links via mobile nodes. The network topology of a multihop wireless network changes frequently due to node mobility.…”

Section: Introductionmentioning

confidence: 99%

An Azimuth-Based Dead-End Avoiding Routing Mechanism for Providing Reliable IP Connectivity in Multihop Wireless Networks

Ahn

2016

International Journal of Distributed Sensor Networks

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In a multihop wireless network, such as a wireless sensor network (WSN), with nodes being aware of their locations, the geographic routing scheme is an effective way of delivering packets to their destinations because of its 1-hop beacon broadcasting based routing related information exchange operation. The routing information obtained via 1-hop beaconing is local in the sense that it is just 1-hop compared to the multihop end-to-end routing. Hence, at some point, packets may experience no more place to be forwarded to (i.e., dead-ends). In this paper, we propose a geographical routing mechanism adopting the concept of the azimuth to reduce the possibility of packets confronting dead-ends. In other words, the node with a packet to be forwarded to the final destination figures out the next-hop node by utilizing the azimuth of the destination as a routing metric. Besides, we propose additional routing metrics for stable next-hop node selection to provide reliable IP connectivity. In order to validate the performance of the proposed routing mechanism, we evaluate its performance through the NS-2 based simulations and show that our mechanism outperforms the other schemes in terms of the packet delivery success rate, the end-to-end delay, and the number of dead-end encounters.

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“…We consider an Internet of Vehicles (IoV) scenario, which uses moving cars as nodes in a network to create a mobile network [7]. The IoV turns every participating car into a wireless router or node, allowing cars approximately 100 to 300 meters of each other to connect and, in turn, create a network with a wide range.…”

Section: Preliminarymentioning

confidence: 99%