• DocumentCode
    1972110
  • Title

    Quality assessment for video streaming P2P application over wireless mesh network

  • Author

    Duque, Juan Pablo Urrea ; Gómez, Natalia Gaviria

  • Author_Institution
    Univ. de Antioquia, Antioquia, Colombia
  • fYear
    2012
  • fDate
    12-14 Sept. 2012
  • Firstpage
    99
  • Lastpage
    103
  • Abstract
    Wireless mesh networks (WMN) enables the expansion of communication networks and broadband services. This expansion allows the use of applications like streaming multimedia in P2P (Peer-to-Peer). P2P-TV and WMNs share similar features like self-organization and decentralization in dynamic network environments and multi-hop transmission. In this context quality measurement has become essential due to actual QoS (Quality of Service) parameters lack of user experience metrics. In order to evaluate QoE in P2P streaming over WMN, we use a Pseudo Subjective Quality Assessment (PSQA) taking the advantages of both subjective an objective approaches. The experimental testbed is implemented using PeerStreamer (P2P video streaming application) running over virtual machines, and the IEEE 802.11s NS-3 model as network layer connected through the NS-3 emulation mode.
  • Keywords
    multimedia communication; multimedia computing; peer-to-peer computing; quality of service; video streaming; virtual machines; wireless LAN; wireless mesh networks; IEEE 802.11s; NS-3 emulation mode; P2P application; P2P video streaming application; PeerStreamer; QoS parameter; dynamic network; multihop transmission; peer-to-peer networks; pseudosubjective quality assessment; quality of service parameter; streaming multimedia; video streaming quality assessment; virtual machines; wireless mesh network; Emulation; Measurement; Neurons; PSNR; Peer to peer computing; Quality assessment; Streaming media; MOS (Mean Opinion Score); P2PTV; PSNR (Peak Signal to Noise Ratio); PSQA; QoE; Random Neuronal Networks (RNN); WMN (Wireless Mesh Networks);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image, Signal Processing, and Artificial Vision (STSIVA), 2012 XVII Symposium of
  • Conference_Location
    Antioquia
  • Print_ISBN
    978-1-4673-2759-6
  • Type

    conf

  • DOI
    10.1109/STSIVA.2012.6340564
  • Filename
    6340564