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http://dx.doi.org/10.33778/kcsa.2019.19.4.087

A Scalable Video Coding(SVC) and Balanced Selection Algorithm based P2P Streaming Technique for Efficient Military Video Information Transmission  

Shin, Kyuyong (육군사관학교 컴퓨터과학과)
Kim, Kyoung Min (육군사관학교 컴퓨터과학과)
Lee, Jongkwan (육군사관학교 컴퓨터과학과)
Publication Information
Abstract
Recently, with the rapid development of video equipment and technology, tremendous video information is produced and utilized in military domain to acquire battlefield information or for effective command control. Note that the video playback devices currently used in the military domain ranges from low-performance tactical multi-functional terminals (TMFT) to high-performance video servers and the networks where the video information is transmitted also range from the low speed tactical information and communication network (TICN) to ultra-high speed defense broadband converged networks such as M-BcN. Therefore, there is a need for an efficient streaming technique that can efficiently transmit defense video information in heterogeneous communication equipment and network environments. To solve the problem, this paper proposes a Scalable Video Coding (SVC) and balanced selection algorithm based Peer-to-Peer (P2P) streaming technique and the feasibility of the proposed technique is verified by simulations. The simulation results based on our BitTorrent simulator show that the proposed balanced selection scheme outperforms the sequential or rarest selection algorithm.
Keywords
Video Streaming; Scalable Video Coding; Peer-to-Peer; Military Video Information;
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