Drive-thru internet: IEEE 802.1 1b for "automobile" users

Ott, Jörg; Kutscher, Dirk

doi:10.1109/infcom.2004.1354509

Cited by 367 publications

(332 citation statements)

References 4 publications

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“…During this time, the Wi-Fi client connects opportunistically to APs along the route and manages to spend 223 seconds connected, transferring 34 MB. These "in the wild" results clearly show the potential of this untapped resource of open Wi-Fi connectivity and have a similar behavior to the isolated and controlled experiments in [5,6,14].…”

Section: The Experiments Routesupporting

confidence: 67%

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An Experimental Performance Comparison of 3G and Wi-Fi

Gass

Diot²

2010

Lecture Notes in Computer Science

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Abstract. Mobile Internet users have two options for connectivity: pay premium fees to utilize 3G or wander around looking for open Wi-Fi access points. We perform an experimental evaluation of the amount of data that can be pushed to and pulled from the Internet on 3G and open Wi-Fi access points while on the move. This side-by-side comparison is carried out at both driving and walking speeds in an urban area using standard devices. We show that significant amounts of data can be transferred opportunistically without the need of always being connected to the network. We also show that Wi-Fi mostly suffers from not being able to exploit short contacts with access points but performs comparably well against 3G when downloading and even significantly better while uploading data.

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Section: The Experiments Routesupporting

confidence: 67%

“…There have been experiments on a high speed Autobahn [14], in the Californian desert [5], and on an infrequently travelled road in Canada [6] where the environment and test parameters were carefully controlled. These works showed that a significant amount of data can be transferred while moving by access points along the road.…”

Section: G Vs Wi-fi Uploadsmentioning

confidence: 99%

An Experimental Performance Comparison of 3G and Wi-Fi

Gass

Diot²

2010

Lecture Notes in Computer Science

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“…The rented EC2 instances have 5 GHz CPU and 1.7 GB RAM each. Without parallel processing, the response time may be well over the average connection time of a mobile user with a roadside WiFi ranges between 6-12 seconds [24]. This makes it impossible for a mobile user to get the result in time in the same communication session although EC2 has a faster CPU speed.…”

Section: Resultsmentioning

confidence: 99%

Mobile MapReduce: Minimizing Response Time of Computing Intensive Mobile Applications

Hassan

Chen

2012

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. The increasing popularity of mobile devices calls for effective execution of mobile applications. A lot of research has been conducted on properly splitting and outsourcing computing intensive tasks to external resources (e.g., public clouds) by considering insufficient computing resources on mobile devices. However, little attention has been paid to the overall users' response time, where the network may dominate. In this study, we set to investigate how to effectively minimize users' response time for mobile applications. We consider both the impact of the network and the computing itself. We first show that outsourcing to nearby residential computers may be more advantageous than public clouds for mobile applications due to network impact. Furthermore, to speed up computing, we leverage parallel processing techniques. Accordingly, we propose to build Mobile MapReduce (MMR) to effectively execute outsource computing intensive mobile applications. Based on the original MapReduce framework, a new scheduling model is built in MMR that can always leverage the best computing resources to conduct computation with appropriate parallel processing. To demonstrate the performance of MMR, we run several real-world applications, such as text searching, face detection, and image processing, on the prototype. The results show great potentials of MMR in minimizing the response time of the outsourced mobile applications.

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“…In [4] and [29], the drive-thru Internet is evaluated in a planned scenario where two APs are deployed closely along a highway, using IEEE 802.11b and 802.11g, respectively. The performances of User Datagram Protocol (UDP) and Transmission Control Protocol (TCP) at different speeds (80, 120, and 180 km/h) and scenarios (AP to vehicle, vehicle to AP) are evaluated.…”

Section: Drive-thru Internetmentioning

confidence: 99%

“…Recent research has demonstrated the feasibility of WiFi for outdoor Internet access at vehicular speeds [3]. The built-in WiFi radio or WiFi-enabled mobile devices on board can access the Internet when vehicles are moving in the coverage of WiFi hotspots, which is often referred to as the drive-thru Internet access [4]. This kind of access solution is workable to offer a cost-effective data pipe for vehicle users [5], and with the increasing deployment of the urban-scale WiFi network (e.g., Google WiFi in the city of Mountain View), there would be a rapid growth in vehicular Internet connectivity.…”

Section: Introductionmentioning

confidence: 99%

Vehicular WiFi offloading: Challenges and solutions

Cheng

Liu

Zhang

et al. 2014

Vehicular Communications

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WiFi offloading is envisioned as a promising solution to the mobile data explosion problem in cellular networks. WiFi offloading for moving vehicles, however, poses unique characteristics and challenges, due to high mobility, fluctuating mobile channels, etc. In this paper, we focus on the problem of WiFi offloading in vehicular communication environments. Specifically, we discuss the challenges and identify the research issues related to drive-thru Internet access and effectiveness of vehicular WiFi offloading. Moreover, we review the state-of-the-art offloading solutions, in which advanced vehicular communications can be employed. We also shed some lights on the path for future research on this topic.

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Drive-thru internet: IEEE 802.1 1b for "automobile" users

Cited by 367 publications

References 4 publications

An Experimental Performance Comparison of 3G and Wi-Fi

An Experimental Performance Comparison of 3G and Wi-Fi

Mobile MapReduce: Minimizing Response Time of Computing Intensive Mobile Applications

Vehicular WiFi offloading: Challenges and solutions

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