• Title of article

    ComboCoding: Combined intra-/inter-flow network coding for TCP over disruptive MANETs

  • Author/Authors

    Chen, Chien-Chia University of California - Computer Science Department, USA , Chen, Clifford Carnegie Mellon University - NASA Research Park, USA , Oh, Soon Y. University of California - Computer Science Department, USA , Park, Joon-Sang Hongik University - Department of Computer Engineering, Republic of Korea , Gerla, Mario University of California - Computer Science Department, USA , Sanadidi, M.Y. University of California - Computer Science Department, USA

  • From page
    241
  • To page
    252
  • Abstract
    TCP over wireless networks is challenging due to random losses and ACK interference. Although network coding schemes have been proposed to improve TCP robustness against extreme random losses, a critical problem still remains of DATA–ACK interference. To address this issue, we use inter-flow coding between DATA and ACK to reduce the number of transmissions among nodes. In addition, we also utilize a “pipeline” random linear coding scheme with adaptive redundancy to overcome high packet loss over unreliable links. The resulting coding scheme, ComboCoding, combines intra-flow and inter-flow coding to provide robust TCP transmission in disruptive wireless networks. The main contributions of our scheme are twofold; the efficient combination of random linear coding and XOR coding on bi-directional streams (DATA and ACK), and the novel redundancy control scheme that adapts to time-varying and space-varying link loss. The adaptive ComboCoding was tested on a variable hop string topology with unstable links and on a multipath MANET with dynamic topology. Simulation results show that TCP with ComboCoding delivers higher throughput than with other coding options in high loss and mobile scenarios, while introducing minimal overhead in normal operation
  • Keywords
    Network coding , Random linear coding , XOR coding , TCP , Wireless multihop , Lossy channels
  • Journal title
    Journal of Advanced Research
  • Journal title
    Journal of Advanced Research
  • Record number

    2646161