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Probing Based Topology Inference for Large Scale Community Networks

  • Marat Zhanikeev
  • Yoshiaki Tanaka
  • Tomohiko Ogishi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5297)

Abstract

Traditional research in on-demand topological solutions is gathered around the two main clusters, - wireless ad-hoc networks and fixed overlay networks. Both are very different in nature, but they both deal with the same problem which is to create a topology out of an arbitrary set of nodes. This paper considers the case of an arbitrary set of mixed-technology nodes which are to be joined in a topology based on end-to-end delay measurements among nodes. The core of the proposal is topology inference based on triangular inequality of end-to-end delay which is finalized in form of an algorithm that allows for efficient detection of a logical topology of a network with no initial topology. The algorithm is scalable and could be a practical solution for many scenarios involving community services created on-demand and intended for a short lifespan.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Marat Zhanikeev
    • 1
  • Yoshiaki Tanaka
    • 2
    • 3
  • Tomohiko Ogishi
    • 4
  1. 1.School of International Liberal StudiesWaseda UniversityTokyoJapan
  2. 2.Global Information and Telecommunication InstituteWaseda UniversityTokyoJapan
  3. 3.Research Institute for Science and EngineeringWaseda UniversityTokyoJapan
  4. 4.KDDI R&D LaboratoriesSaitamaJapan

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