• DocumentCode
    1781263
  • Title

    Link quality estimators for multi-hop mesh network

  • Author

    Cacciapuoti, A.S. ; Caleffi, M. ; Paura, Luigi ; Rahman, Md Arifur

  • Author_Institution
    Dept. of Electr. Eng. & Inf. Technol. (DIETI), Univ. of Naples Federico II, Naples, Italy
  • fYear
    2014
  • fDate
    12-15 Nov. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, the problem of estimating the link quality in mesh networks has been considered. Such a problem is a major task to develop an efficient network layer, since an accurate knowledge of the link qualities allows routing protocols to efficiently use neighbors as relays for multi-hop communications. In the last years, a number of link-quality aware routing metrics based on the packet delivery ratio have been proposed and analyzed. However, very few works have addressed the problem of correctly estimating the delivery ratio of a wireless link. Therefore, in this paper we resort to a 802.11b mesh network to carry on a performance comparison between two widely adopted delivery ratio estimators, namely the Simple Moving Average and the Exponentially Weighted Moving Average, and a recently proposed one based on the neural network paradigm.
  • Keywords
    radio links; relay networks (telecommunication); routing protocols; wireless mesh networks; 802.11b mesh network; exponentially weighted moving average delivery ratio estimators; link quality estimators; link-quality aware routing metrics; multihop communications; multihop mesh network; network layer; neural network paradigm; packet delivery ratio; relays; routing protocols; simple moving average delivery ratio estimators; wireless link; Measurement; Mesh networks; Probes; Routing; Spread spectrum communication; Wireless communication; 802.11; ad hoc; bio-inspired; estimation; link quality; mesh; neural network; test bed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Euro Med Telco Conference (EMTC), 2014
  • Conference_Location
    Naples
  • Print_ISBN
    978-8-8872-3721-4
  • Type

    conf

  • DOI
    10.1109/EMTC.2014.6996637
  • Filename
    6996637