Shared video on-demand streaming system in practical WiFi-based for mobile opportunistic networks

被引：0

作者：

Liu, Ding ^{[1
]}

Wang, Xiaoming ^{[1
]}

Lu, Junling ^{[1
]}

Gao, Yufei ^{[1
]}

机构：

[1] School of Computer Science, Shaanxi Normal University, Xi'an

来源：

Journal of Computational Information Systems | 2014年 / 10卷 / 16期

关键词：

Broken-point continuingly-transferring; Mobile opportunistic networks; WiFi; Wireless video streaming;

D O I：

10.12733/jcis11030

中图分类号：

学科分类号：

摘要：

A shared video on-demand streaming system (SVSS) in WiFi-based mobile opportunistic networks is designed and implemented. It is generally appreciated that broken-point continuingly-transferring is a recently developed practical technique to improve the efficiency of data transmission. However, the traditional WiFi communication mechanism only supports broken-point continuingly-transferring communication between both parties, so it results in decreasing the transmission efficiency. Aiming at this problem, a new file transfer mechanism is proposed, which can provide more powerful broken-point continuingly-transferring mechanism to support for third party. At the same time, the architecture and scheduling algorithm of the SVSS are described, and a testbed is also set up to validate the SVSS in real world. Compared with the traditional WiFi communication, the SVSS significantly increases the amount of packet forwarding, reduces the equipment power consumption and has strong practicability in mobile environments. Experimental results demonstrate significant performance benefits in terms of information diffusion in wireless mobile opportunistic networks. 1553-9105/Copyright © 2014 Binary Information Press

引用

页码：6891 / 6901

页数：10

共 11 条

[1]

Shorey R., Ananda A., Chan M.C., Ooi W.T., Mobile, Wireless, and Sensor Networks: Technology, Applications, and Future, (2006)

[2]

Bettstetter C., Resta G., Santi P., The node distribution of the random waypoint mobility model for wireless ad hoc networks, Mobile Computing, 2, pp. 257-267, (2003)

[3]

Yoon H.Y., Kim J.W., Hsieh R., Peer-assisted video on-demand steaming system in practical WiFi-based mobile opportunistic networks, Journal of Network and Computer Applications

[4]

Li Y., Jiang Y., Jin D.P., Su L., Zeng L.G., Energy-efficient optimal opportunistic forwarding for delay-tolerant networks, Vehicular Technology, 59, pp. 4500-4512, (2010)

[5]

Tseng Y.C., Wu F.J., Lai W.T., Opportunistic data collection for disconnected wireless sensor networks by mobile mules, Ad Hoc Networks, 11, pp. 1150-1164, (2013)

[6]

Yang W.C., Hu K., Zhou S.L., Information spreading dynamics of the superspreaders in large opportunistic networks, Journal of Computational Information Systems, 9, pp. 7141-7146, (2013)

[7]

Mtibaa A., Harras K.A., CAF: Community aware framework for large scale mobile opportunistic networks, Computer Communications, 36, pp. 180-190, (2013)

[8]

Martln-Campillo A., Martl R., Energy-efficient forwarding mechanism for wireless opportunistic networks in emergency scenarios, Computer Communications, 35, pp. 1715-1724, (2012)

[9]

Lee J., Choi J.G., Bahk S., Opportunistic downlink data delivery for mobile collaborative communities, Computer Networks, 57, pp. 1644-1655, (2013)

[10]

Du X., Liu Y.A., Liu K.M., Tang B.H., Chen X., Throughput oriented forwarders selection analysis for opportunistic routing in wireless mesh network, The Journal of China Universities of Posts and Telecommunications, 20, pp. 73-78, (2013)

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