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Open Access

Optimization-Based Fragmental Transmission Method for Video Data in Opportunistic Networks

Peng Li, Xiaoming Wang( ), Junling Lu, Lichen Zhang, Zaobo He
Key Laboratory Modern Teaching Technology, Ministry of Education, Xi’an 710119, China
School of Computer Science, Shaanxi Normal University, Xi’an 710119, China.
Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA.
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Abstract

Multimedia data have become popularly transmitted content in opportunistic networks. A large amount of video data easily leads to a low delivery ratio. Breaking up these big data into small pieces or fragments is a reasonable option. The size of the fragments is critical to transmission efficiency and should be adaptable to the communication capability of a network. We propose a novel communication capacity calculation model of opportunistic network based on the classical random direction mobile model, define the restrain facts model of overhead, and present an optimal fragment size algorithm. We also design and evaluate the methods and algorithms with video data fragments disseminated in a simulated environment. Experiment results verified the effectiveness of the network capability and the optimal fragment methods.

Keywords

opportunistic networkcommunication capabilitiesfragmentvideo data

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Tsinghua Science and Technology
Volume 22 Issue 4,
August 2017
Pages 389-399
DOI: 10.23919/TST.2017.7986942
Cite this article:
Li P, Wang X, Lu J, et al. Optimization-Based Fragmental Transmission Method for Video Data in Opportunistic Networks. Tsinghua Science and Technology, 2017, 22(4): 389-399. https://doi.org/10.23919/TST.2017.7986942

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Received: 20 November 2016
Revised: 24 January 2017
Accepted: 12 February 2017
Published: 20 July 2017
© The author(s) 2017
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