Feasibility of content dissemination between devices in moving vehicles

Zahn, Thomas; O'Shea, Greg; Rowstron, Antony

doi:10.1145/1658939.1658951

Cited by 19 publications

(7 citation statements)

References 20 publications

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“…In a recent work, Zahn et al [48] investigate the content dissemination for devices mounted on moving vehicles. However, there is very little work about whether it is feasible to support opportunistic communications on mobile phones.…”

Section: Methodsmentioning

confidence: 99%

Mobile Data Offloading through Opportunistic Communications and Social Participation

Han

Hui

Kumar

et al. 2012

IEEE Trans. on Mobile Comput.

452

287

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Abstract3G networks are currently overloaded, due to the increasing popularity of various applications for smartphones. Offloading mobile data traffic through opportunistic communications is a promising solution to partially solve this problem, because there is almost no monetary cost for it. We propose to exploit opportunistic communications to facilitate information dissemination in the emerging Mobile Social Networks (MoSoNets) and thus reduce the amount of mobile data traffic. As a case study, we investigate the target-set selection problem for information delivery. In particular, we study how to select the target set with only k users, such that we can minimize the mobile data traffic over cellular networks. We propose three algorithms, called Greedy, Heuristic, and Random, for this problem and evaluate their performance through an extensive trace-driven simulation study. Our simulation results verify the efficiency of these algorithms for both synthetic and real-world mobility traces. For example, the Heuristic algorithm can offload mobile data traffic by up to 73.66% for a real-world mobility trace. Moreover, to investigate the feasibility of opportunistic communications for mobile phones, we implement a proof-of-concept prototype, called Opp-Off, on Nokia N900 smartphones, which utilizes their Bluetooth interface for device/service discovery and content transfer.

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Section: Methodsmentioning

confidence: 99%

Mobile Data Offloading through Opportunistic Communications and Social Participation

Han

Hui

Kumar

et al. 2012

IEEE Trans. on Mobile Comput.

452

287

View full text Add to dashboard Cite

show abstract

“…Although we believe that such type of event would not be as frequent as the event of a message being sent between two vehicles moving in the same direction, as only a few seconds, in fact, would be available for the discovery of a candidate relay and the successful transmission of an alert message to a vehicle that is traveling at a relative speed of 220 km/h, this case might as well occur. Interestingly, relevant previous work, which utilizes hardware settings that are very similar to ours, reveals the amount of data that can be exchanged between two vehicles that are moving in opposite directions on a highway [56]. The work that has been presented in the cited paper only focuses on the exchange of bulk data between two moving vehicles but can still be of interest to understand what contact time and what transfers of information can be achieved in such situation.…”

Section: F Have Our Experiments Been Realistic At Last?mentioning

confidence: 80%

Safe Driving in LA: Report from the Greatest Intervehicular Accident Detection Test Ever

Marfia

Roccetti

Amoroso

et al. 2013

IEEE Trans. Veh. Technol.

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The UN Economic Commission's Statistics of Road Traffic Accidents report of 2011 shows that every year, about 150 000 human beings lose their lives on the roads of the western world. Although it is a common belief that this figure could shrink with the use of new sensor and communication technologies, unfortunately, none such systems have hit the road to date. Ideally, if such technologies were put into place, vehicles could be part of a vehicular ad hoc network (VANET) capable of spreading relevant information about dangerous events (e.g., car accidents) to all approaching drivers. However, all this is mainly supported by simulation studies, as no practical results have been published to date, revealing the effective performances of such systems at work. In this paper, we fill this gap, presenting a detailed description of the greatest experiments (a few thousand throughout the streets of Los Angeles), to date, ever performed with an accident warning system specifically devised for highway scenarios. In particular, among all the possible candidate schemes, we ran a few thousand experiments with the accident warning system algorithm that was proven to be optimal in terms of bandwidth usage and covered distance in realistic scenarios. Our experiments confirm what has been observed before in theory and simulation, i.e., the use of such a system can reduce, by as much as 40%, the amount of vehicles involved in highway pileups. Index Terms-Design for experiments, prototypes, vehicle safety, vehicular ad hoc network (VANET) testbed, vehicular and wireless technologies. I. INTRODUCTION T HE SOCIETAL costs of car accidents in Europe, in year 2009, amounted to $160 billion according to the Harmonised European Approaches for Transport Costing project commissioned by the European Union (EU) [1]. Such value only partially captures the plethora of problems that have their origin in such type of events, as it is rather difficult to quantify, for example, the costs that are imputable to the emotional distress symptoms or to the increased pollution levels that usually follow any motor vehicle accident. Continuing with a policy that recognizes the negative impact that car accidents have on society, in July 2011, the Transport Manuscript

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“…We use 802.11a because it is closest to the frequency band (5.9 GHz) allocated for Intelligent Transport Systems in USA and Europe. Our laptops use a modified Atheros reference driver [24]. In broadcast mode, the modified driver allows us to change the broadcast data rate beyond the 802.11a default rate of 6 Mbps.…”

Section: Vehicular Testbedmentioning

confidence: 99%

“…A recent work proposed Broadside [24], a system that targets file exchange between two vehicles. Via real experiments, this work demonstrates the feasibility and efficiency of high-throughput file exchange among moving vehicles.…”

Section: Related Workmentioning

confidence: 99%

Measurement-Based Design of Roadside Content Delivery Systems

Kone

Zheng

Rowstron

et al. 2013

IEEE Trans. on Mobile Comput.

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Abstract-With today's ubiquity of thin computing devices, mobile users are accustomed to having rich location-aware information at their fingertips, such as restaurant menus, shopping mall maps, movie showtimes, and trailers. However, delivering rich content is challenging, particularly for highly mobile users in vehicles. Technologies such as cellular-3G provide limited bandwidth at significant costs. In contrast, providers can cheaply and easily deploy a small number of WiFi infostations that quickly deliver large content to vehicles passing by for future offline browsing. While several projects have proposed systems for disseminating content via roadside infostations, most use simplified models and simulations to guide their design for scalability. Many suspect that scalability with increasing vehicle density is the major challenge for infostations, but few if any have studied the performance of these systems via real measurements. Intuitively, per-vehicle throughput for unicast infostations degrades with the number of vehicles near the infostation, while broadcast infostations are unreliable, and lack rate adaptation. In this work, we collect over 200 h of detailed highway measurements with a fleet of WiFi-enabled vehicles. We use analysis of these results to explore the design space of WiFi infostations, in order to determine whether unicast or broadcast should be used to build high-throughput infostations that scale with device density. Our measurement results demonstrate the limitations of both approaches. Our insights lead to Starfish, a high-bandwidth and scalable infostation system that incorporates device-to-device data scavenging, where nearby vehicles share data received from the infostation. Data scavenging increases dissemination throughput by a factor of 2-6, allowing both broadcast and unicast throughput to scale with device density.

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Feasibility of content dissemination between devices in moving vehicles

Cited by 19 publications

References 20 publications

Mobile Data Offloading through Opportunistic Communications and Social Participation

Mobile Data Offloading through Opportunistic Communications and Social Participation

Safe Driving in LA: Report from the Greatest Intervehicular Accident Detection Test Ever

Measurement-Based Design of Roadside Content Delivery Systems

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