• DocumentCode
    3600260
  • Title

    Evaluation of a delay-tolerant ICN architecture

  • Author

    Lakhani, Hasnain ; McCarthy, Timothy ; Minyoung Kim ; Wilkins, David E. ; Wood, Samuel

  • Author_Institution
    SRI Int., Menlo Park, CA, USA
  • fYear
    2015
  • Firstpage
    950
  • Lastpage
    955
  • Abstract
    Simulation/emulation is key for early testing, assessment, and scalability evaluation of networking solutions for mobile ad-hoc networks (MANETs). If the solution is highly configurable - such as ENCODERS, SRI´s delay-tolerant information-centric networking (ICN) solution - this type of evaluation is crucial. For effective modeling of information flows, the test framework needs to: (1) allow repeatable execution of scenarios with different patterns of network traffic, operating in different mobility and network-usage contexts, (2) provide a rich simulated environment that can model virtually any network topology and mobility, with high-fidelity device models, and (3) support flexible large-scale simulation, with the option of using virtual machines that execute the same code that would be used on an actual device. We describe our evaluation framework and the results of using it to develop and evaluate ENCODERS.
  • Keywords
    delays; mobile ad hoc networks; telecommunication network topology; telecommunication traffic; ICN; MANET; SRI delay tolerant information centric networking; delay tolerant ICN architecture; mobile ad-hoc networks; mobility usage contexts; network topology; network usage contexts; scalability evaluation; simulated environment; virtual machines; Aircraft; Artificial intelligence; Artificial neural networks; Global Positioning System; Network coding; Radar tracking; Robustness; Delay-Tolerant Networking; Evaluation; Information-Centric Networking; MANETs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous and Future Networks (ICUFN), 2015 Seventh International Conference on
  • ISSN
    2288-0712
  • Type

    conf

  • DOI
    10.1109/ICUFN.2015.7182686
  • Filename
    7182686