Boosting named data networking for data dissemination in urban VANET scenarios

Bian, Chaoyi; Zhao, Tong; Li, Xiaoming; Yan, Wei

doi:10.1016/j.vehcom.2015.08.001

Cited by 37 publications

(21 citation statements)

References 29 publications

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“…Therefore vehicles may be able to disseminate demanded LDI to many vehicles with a small number of the LDI transfers. In addition, Bian et al introduced the NDN architecture to VANETs and proposed forwarding and caching schemes [10].…”

Section: Related Workmentioning

confidence: 99%

Data Exchange Strategies for Aggregating Geographical Distribution of Demands for Location-Dependent Information Using Soft-State Sketches in VANETs

Yamada

Ishihara

2017

Adv. sci. technol. eng. syst. j.

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When we drive a car, we often want to know the circumstances of roads between the current location and the destination. Ishihara et al. proposed a Vehicular ad-hoc NETworks (VANET) -based information sharing system, called the Real-Time Visual Car Navigation System, in which a driver can obtain Location-Dependent Information (LDI), such as photographs or videos of his/her Point of Interest (PoI), by telling the onboard device, e.g., a car navigation device, the PoI. The simplest way to provide LDI to vehicles is to flood the LDI to all vehicles, but unneeded LDI may be disseminated, and network resources may be wasted. To disseminate LDI to many vehicles that demand it with low communication traffic, we have proposed a data dissemination scheme based on Demand maps (Dmaps). In this scheme, each vehicle has a Dmap, a data set representing the geographical distribution of the strength of demands for LDI. To keep the Dmap up to date, each vehicle exchanges a subset of data constituting a Dmap (Dmap Information: DMI) with other vehicles. Vehicles preferentially send new LDI or forwarded LDI strongly demanded to the area where the LDI is frequently demanded based on Dmaps. If vehicles frequently send DMI, the accuracy of the Dmap becomes high, however, communication traffic becomes large. In this paper, we propose strategies for controlling the frequency of sending DMI and strategies for selecting DMI to be sent to improve the Dmap accuracy with low communication traffic. Simulation results show that one of the proposed strategies, the LDI Transfer Zone (LTZ) strategy, achieves highly accurate Dmaps with a small amount of communication traffic.

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Section: Related Workmentioning

confidence: 99%

Data Exchange Strategies for Aggregating Geographical Distribution of Demands for Location-Dependent Information Using Soft-State Sketches in VANETs

Yamada

Ishihara

2017

Adv. sci. technol. eng. syst. j.

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“…According to them, during the waiting time, each transmitting node listens to the channel: if it overhears the same packet, then the imminent transmission is canceled. The additional delay can be randomly selected in a pre-defined temporal window [11,27] or it can be related to the distance from the previous sender [8,9]. Such schemes are totally distributed and performed autonomously by vehicles and RSUs; therefore, we refer to such mechanisms as "Blind Flooding" (BF).…”

Section: Ndn Forwarding In Vanetsmentioning

confidence: 99%

“…Other approaches use regular beacon exchange to carry information helpful to select the best forwarder, at the expense of additional signaling, e.g., [9,29].…”

Section: Ndn Forwarding In Vanetsmentioning

confidence: 99%

“…Therefore, the definition of the NDN forwarding techniques to retrieve content [7][8][9][10][11][12], by overhauling the functionalities of the strategy layer, is among the crucial design choices to tackle in vehicular NDN.…”

Section: Introductionmentioning

confidence: 99%

“…Existing literature works mainly focused on the definition of solutions aimed to counteract broadcast storm effects and limit useless transmissions while speeding up data delivery [8][9][10][11]. Overhearing is used to limit packet collisions and suppress redundancy.…”

Section: Introductionmentioning

confidence: 99%

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Priority-Based Content Delivery in the Internet of Vehicles through Named Data Networking

Amadeo

Campolo

Molinaro

2016

JSAN

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Named Data Networking (NDN) has been recently proposed as a prominent solution for content delivery in the Internet of Vehicles (IoV), where cars equipped with a variety of wireless communication technologies exchange information aimed to support safety, traffic efficiency, monitoring and infotainment applications. The main NDN tenets, i.e., name-based communication and in-network caching, perfectly fit the demands of time-and spatially-relevant content requested by vehicles regardless of their provenance. However, existing vehicular NDN solutions have not been targeted to wisely ensure prioritized traffic treatment based on the specific needs of heterogeneous IoV content types. In this work, we propose a holistic NDN solution that, according to the demands of data traffic codified in NDN content names, dynamically shapes the NDN forwarding decisions to ensure the appropriate prioritization. Specifically, our proposal first selects the outgoing interface(s) (i.e., 802.11, LTE) for NDN packets and then properly tunes the timing of the actual transmissions. Simulation results show that the proposed enhancements succeed in achieving differentiated traffic treatment, while keeping traffic load under control.

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