• DocumentCode
    61347
  • Title

    CARMEN: a cognitive networking testbed on android OS devices

  • Author

    Danieletto, Matteo ; Quer, Giorgio ; Rao, Rohini R. ; Zorzi, Michele

  • Author_Institution
    Univ. of Padova, Padua, Italy
  • Volume
    52
  • Issue
    9
  • fYear
    2014
  • fDate
    Sep-14
  • Firstpage
    98
  • Lastpage
    107
  • Abstract
    Wireless devices running the Android operating system offer a novel opportunity to study network behaviors, and to observe and modify, in real time, key networking parameters. This opens up an unprecedented opportunity to study, test, and evaluate the performance of techniques operating at different layers of the protocol stack and adopting the cognitive networking paradigm. In this article, we describe our novel IEEE 802.11 mesh network testbed that integrates Android-based devices. The aim is to build a flexible testbed to observe in-stack and out-of-stack parameters of interest that, with some modifications, can be used to test networking techniques in both civilian and emergency scenarios. We provide the implementation details to create an ad hoc network among these inexpensive commercial devices, and specify how to observe and modify the networking parameters at different layers of the protocol stack. We also run some standard protocols on the network, and we obtain some repeatable results, which are similar to other results from the literature and confirm our testbed as a valid tool for ad hoc network performance evaluation.
  • Keywords
    Android (operating system); cognitive radio; computer network performance evaluation; protocols; wireless LAN; wireless mesh networks; CARMEN; IEEE 802.11 mesh network testbed; ad hoc network performance evaluation; android OS devices; cognitive networking testbed; protocol stack; wireless devices; Ad hoc networks; Androids; Cognitive networks; Humanoid robots; IEEE 802.11 Standards; Protocols; Smart phones;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/MCOM.2014.6894459
  • Filename
    6894459