• DocumentCode
    1850389
  • Title

    Theoretical analysis of IPv6 stateless address autoconfiguration in Low-power and Lossy Wireless Networks

  • Author

    Montavont, Julien ; Cobarzan, Cosmin ; Noel, Thomas

  • Author_Institution
    ICube Lab., Univ. of Strasbourg, Strasbourg, France
  • fYear
    2015
  • fDate
    25-28 Jan. 2015
  • Firstpage
    198
  • Lastpage
    203
  • Abstract
    Low-power and Lossy Wireless Networks (LLN) is a crucial enabling technology for a broad range of applications that will touch everybody´s life and be driving forces for new businesses. Example of the rapidly emerging application domains are the Internet of Things, Smart Cities and Smart Homes. Recently, there is strong effort to provide LLN with IP connectivity. Supporting IP provides interoperability with existing IP devices and infrastructure together with the access to a large panel of tools for diagnostic, management and commissioning. However, enabling such solutions on LLN requires to optimize the IP communication stack. Among the features introduced by IP, the stateless address autoconfiguration is of particular importance as the success of IP is largely because of its ability to connect together networks of different sizes and types. In this article, we propose a complete evaluation of the stateless address autoconfiguration in LLN. Our theoretical analysis is based on neighbor discovery optimizations especially designed for LLN.
  • Keywords
    IP networks; Internet of Things; open systems; optimisation; personal area networks; IP communication stack; IPv6 stateless address autoconfiguration; Internet of Things; Smart Cities; Smart Homes; interoperability; lossy wireless networks; low-power wireless networks; neighbor discovery optimization; stateless address autoconfiguration; Context; Delays; IEEE 802.15 Standards; IP networks; Optimization; Topology; Unicast; 6LoWPAN; IPv6 Stateless Address Autoconfiguration; Neighbor Discovery; Theoretical Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing & Communication Technologies - Research, Innovation, and Vision for the Future (RIVF), 2015 IEEE RIVF International Conference on
  • Conference_Location
    Can Tho
  • Print_ISBN
    978-1-4799-8043-7
  • Type

    conf

  • DOI
    10.1109/RIVF.2015.7049899
  • Filename
    7049899