Mobile Chord: Enhancing P2P Application Performance over Vehicular Ad Hoc Network

Liu, Che-Liang; Wang, Chih-Yu; Wei, Hung‐Yu

doi:10.1109/glocomw.2008.ecp.62

Cited by 14 publications

(9 citation statements)

References 21 publications

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“…The application-layer Chord network of both QUVoD and VMesh are implemented based on the MChord [19]- [20], extended according to their different individual algorithms. For QUVoD, we consider two wireless communication interfaces for each of the vehicle nodes: the IEEE 802.11p WAVE network interface and 4G WiMAX interface.…”

Section: A Simulation Methodologymentioning

confidence: 99%

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QoE-Driven User-Centric VoD Services in Urban Multihomed P2P-Based Vehicular Networks

Zhao

Guan

et al. 2013

IEEE Trans. Veh. Technol.

151

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Abstract-Recently many cities around the world have witnessed large scale deployment of terrestrial broadcasting mobile TV to vehicles. This service is similar to the cable or satellite television already watched at home and user-centric interactive mobile Video-on-Demand (VoD) over urban vehicular networks is in fact expected. However providing this new service with focus on user Quality of Experience (QoE) constitutes a significant challenge. This paper introduces a QoE-driven User-centric solution for VoD services in urban vehicular network environments (QUVoD). QUVoD relies on a multi-homed hierarchical peer-topeer (P2P) and vehicular ad-hoc network (VANET) architecture. Vehicles construct a low layer VANET via WAVE interfaces and also form an upper layer P2P Chord overlay on top of a cellular network via 4G interfaces. A novel grouping-based storage strategy is proposed which distributes uniformly the video segments along the Chord overlay, reducing segment seeking traffic, while also enabling load-balancing. A novel segment seeking and multipath delivery scheme is also introduced which achieves high lookup success rate and very good video data delivery efficiency. Furthermore, a new speculation-based prefetching strategy is proposed, which analyses users' interactive viewing behavior and, by estimating video segment playback order, employs pre-fetching of the expected segments, smoothening the video playback. Simulation results show how QUVoD is a highly efficient user-centric mobile VoD solution in urban vehicular networks in comparison with existing state of the art solutions.Index Terms-User-centric VoD, peer-to-peer (P2P), quality of experience (QoE), vehicular network.

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Section: A Simulation Methodologymentioning

confidence: 99%

“…MeshChord [18] improves the basic Chord to efficiently utilize it in wireless mesh networks. Liu et al [19]- [20] proposed MChord to enhance the performance of Chord over VANETs. There are also other research works [21] and [22] which improve the Chord algorithm trying to adapt it to the mobile environment.…”

Section: Related Workmentioning

confidence: 99%

QoE-Driven User-Centric VoD Services in Urban Multihomed P2P-Based Vehicular Networks

Zhao

Guan

et al. 2013

IEEE Trans. Veh. Technol.

151

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“…In many cases, however, the most of clients are not interested in the files downloaded by others, so that it is difficult to find the different blocks of the files from neighbors. Similarly, [3] Among the researches on maximizing transmission rate, the authors in [5] discuss how to maximize the amount of transmission data in specific time without any collision. The method makes use of matching result of maximum weight based on bi-graph to obtain optimizing result.…”

Section: Related Workmentioning

confidence: 99%

A transmission scheduling method of cooperative downloading for Vehicular Networking

Liu

et al. 2014

2014 14th International Symposium on Communications and Information Technologies (ISCIT)

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Cooperative downloading is an important measure for increasing the amount of data downloaded to the users of Vehicular Networking (VANET). However, data exchange causes frequent collision among cooperative vehicles and the client. To solve the problem, in this paper, we propose a transmission scheduling method. Firstly, the method builds a kconstraint routing tree according to the amount of linked route, and then schedules the time to transmit for every node in the tree. The goal of the method is to forward data as soon as possible on the premise of collision free. Simulation results indicate the benefits of the proposed scheme in terms of increasing efficiency and reducing delay.

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“…According to the literature [3],when AP choose the slow vehicle as assist vehicle, the total data that the vehicle can carry is   …”

Section: ) the Reputation Value Accountingmentioning

confidence: 99%

An incentive mechanism for cooperative downloading method in VANET

Wang

Wang²,

Yong-jun³

et al. 2013

Proceedings of 2013 IEEE International Conference on Vehicular Electronics and Safety

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Predecessors take cooperative downloading method to solve this delay issue, while this method need mutual cooperation between vehicles, but a incentive mechanism for this cooperative downloading method still has not been put forward. This paper based on cooperative downloading method to design the incentive mechanism, to encourage cooperation between vehicles, and help users to receive the needed resources effectively. For describe the design of incentive mechanism, this paper first analysis the characteristics of the highway scenarios and cooperative downloading method. Finally propose the incentive mechanism, and illustrates how this mechanism works. Keywords-HighwayScenarios; VANET; cooperative downloading Method; Incentive Mechanism I INTRODUCTION With the development of communication technology, more and more people widely use all kinds of communications equipment to browse a variety of information through the Internet at any time anywhere. Therefore, in the VANET, the demand of access to the Internet to download content is increasing. In the vehicle, using 3G or 4G communications network can easily access the Internet, but due to its poor quality of service and expensive cost, it is generally not be select by users. With the roadside AP large-scale deployment in the recent years, researchers consider using 802.11 standard to linked vehicle with the road infrastructure (AP) [1], with Internet information exchange, and its feasible also has been confirmed. However, the vehicle as a node moving fast in short period of time will be traveling longer distances. But the communication service range of the AP is limited. when the distribution of AP is relatively sparse, Dark Area(DA) may be exist between two of the AP's communication service range. When vehicles driving into DA, the connection with Internet will be interrupted, the car could not have downloaded resources in this AP's communication service range, and only wait for the download when the vehicle driving to the next AP's communication service range [2]. A typical example is that in a highway Scenarios, AP is usually provided in the gas station or service area. Service area laid average spacing is about 50 km -60 km. Using 802 11a / b / g / p-standard the AP communication service range is about 300m-1300m, the maximum transfer rate is 54Mbps. When the cars get access to the Internet with the help of WLAN, it will lose contact with the Internet in length of 49 km-59 km. We can assume that cars can drive with the speed of 100 km per hour, then, vehicle can drive within one minute in the range of AP communication service, and they may drive in the DA in 29 min-35min. When a vehicle have just leave the AP area and come up with the Internet request, it will waiting for 29 min-35min. They can never start the operation until they have driven into the next AP area. Apparently, the users can never accept such a delay. Conscequently, how to help the users get the sources with no stop has become a problem. We are looking for a better way to download files with the ...

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Mobile Chord: Enhancing P2P Application Performance over Vehicular Ad Hoc Network

Cited by 14 publications

References 21 publications

QoE-Driven User-Centric VoD Services in Urban Multihomed P2P-Based Vehicular Networks

QoE-Driven User-Centric VoD Services in Urban Multihomed P2P-Based Vehicular Networks

A transmission scheduling method of cooperative downloading for Vehicular Networking

An incentive mechanism for cooperative downloading method in VANET

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