• DocumentCode
    2873327
  • Title

    A comparative simulation study of link quality estimators in wireless sensor networks

  • Author

    Baccour, Nouha ; Koubâa, Anis ; Ben Jamâa, Maissa ; Youssef, Habib ; Zuniga, Marco ; Alves, Mario

  • Author_Institution
    ReDCAD Res. Unit, Nat. Sch. of Eng. of Sfax, Sfax, Tunisia
  • fYear
    2009
  • fDate
    21-23 Sept. 2009
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Link quality estimation (LQE) in wireless sensor networks (WSNs) is a fundamental building block for an efficient and cross-layer design of higher layer network protocols. Several link quality estimators have been reported in the literature; however, none has been thoroughly evaluated. There is thus a need for a comparative study of these estimators as well as the assessment of their impact on higher layer protocols. In this paper, we perform an extensive comparative simulation study of some well-known link quality estimators using TOSSIM. We first analyze the statistical properties of the link quality estimators independently of higher-layer protocols, then we investigate their impact on the Collection Tree Routing Protocol (CTP). This work is a fundamental step to understand the statistical behavior of LQE techniques, helping system designers choose the most appropriate for their network protocol architectures.
  • Keywords
    routing protocols; wireless sensor networks; TOSSIM; collection tree routing protocol; comparative simulation study; higher layer network protocols; link quality estimators; network protocol architectures; wireless sensor networks; Computer science; Cross layer design; Educational institutions; Information systems; Network topology; Radio control; Radio link; Routing protocols; Wireless application protocol; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling, Analysis & Simulation of Computer and Telecommunication Systems, 2009. MASCOTS '09. IEEE International Symposium on
  • Conference_Location
    London
  • ISSN
    1526-7539
  • Print_ISBN
    978-1-4244-4927-9
  • Electronic_ISBN
    1526-7539
  • Type

    conf

  • DOI
    10.1109/MASCOT.2009.5366798
  • Filename
    5366798