• DocumentCode
    2051223
  • Title

    Self-organization of Very Large Sensor Networks Based on Small-worlds Principles

  • Author

    Marinescu, Dan C. ; Yu, Chen ; Marinescu, Gabriela M.

  • Author_Institution
    Sch. of EECS, Univ. of Central Florida Orlando, Orlando, FL, USA
  • fYear
    2009
  • fDate
    14-18 Sept. 2009
  • Firstpage
    115
  • Lastpage
    125
  • Abstract
    We study networks consisting of a very large number of tiny and inexpensive sensors and introduce SWAS (Small-Worlds of Anonymous Sensors), an algorithm combining self-organization based upon small-worlds principles and Medium Access Control based upon a stack protocol for VLSNs and we report on a preliminary study of the algorithm. The nodes of Very Large Sensor Networks (VLSN) have limited resources; to reduce the power consumption the processor is less powerful and the amount of storage available is smaller than those of traditional sensor networks. Moreover, the nodes are indistinguishable from one another; they do not have a physical address, as required by the traditional communication protocols. VLSNs mimic biological systems where individual cells of the same type are indistinguishable. Small-worlds networks combine two desirable features of networks namely high clustering and small path length.
  • Keywords
    access protocols; wireless sensor networks; anonymous sensors; biological system; communication protocol; medium access control; self-organization; small-world networks; small-worlds principle; stack protocol; very large sensor networks; Acoustic sensors; Biosensors; Chemical sensors; Energy consumption; Monitoring; Network topology; Protocols; Sensor systems; Temperature sensors; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Self-Adaptive and Self-Organizing Systems, 2009. SASO '09. Third IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4244-4890-6
  • Electronic_ISBN
    978-0-7695-3794-8
  • Type

    conf

  • DOI
    10.1109/SASO.2009.28
  • Filename
    5298465