Autonomous Management of Large-Scale Ubiquitous Sensor Networks

  • Jong-Eon Lee
  • Si-Ho Cha
  • Dae-Young Kim
  • Kuk-Hyun Cho
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4097)


A framework for the autonomous management of large-scale ubiquitous sensor networks called SNOWMAN (SeNsOr netWork MANagement) is proposed in this paper. In large-scale ubiquitous sensor networks, a huge number of sensor nodes are deployed over a wide area and long distances and multi-hop communication is required between nodes. So managing numerous ubiquitous sensor nodes directly is very complex and is not efficient. The management of large-scale ubiquitous sensor networks therefore must be autonomic with a minimum of human interference, and robust to changes in network states. The SNOWMAN is responsible for monitoring and controlling ubiquitous sensor networks based on policy-based management paradigm. It allows administrators to simplify and automate the management of ubiquitous sensor networks. It can also reduce the costs of managing sensor nodes and of the communication among them using a new hierarchical clustering algorithm.


Sensor Network Sensor Node Wireless Sensor Network Cluster Head Policy Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Yavatkar, R., et al.: A Framework for Policy-based Admission Control. IETF RFC 2753 (January 2000)Google Scholar
  2. 2.
    Ruiz, L.B., et al.: MANNA: A Management Architecture for Wireless Sensor Networks. IEEE Communications Magazine 41(2) (February 2003)Google Scholar
  3. 3.
    Lee, C.-A., et al.: Intelligent Self-Organization Management Mechanism for Wireless Sensor Networks,
  4. 4.
    Heinzelman, W., et al.: Energy-Efficient Communication Protocol for Wireless Microsensor Networks. In: Proc. IEEE Int. Conf. System Sciences, vol. 8 (January 2000)Google Scholar
  5. 5.
    Heinzelman, W.: Application-Specific Protocol Architectures for Wireless Networks, PhD thesis, Massachusetts Inst. of Technology (June 2000)Google Scholar
  6. 6.
    Chen, K., et al.: COPS usage for Policy Provisioning (COPS-PR). In: IETF RFC 3084 ( March 2001)Google Scholar
  7. 7.
  8. 8.
    Nano-24: Sensor Network, Octacomm, Inc.,
  9. 9.
    Cha, S.-H., et al.: A Policy-Based QoS Management Framework for Differentiated Services Netwroks. In: Kahng, H.-K. (ed.) ICOIN 2003. LNCS, vol. 2662, Springer, Heidelberg (2003)CrossRefGoogle Scholar
  10. 10.
    Hurring, S.: XML Editor,

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jong-Eon Lee
    • 1
  • Si-Ho Cha
    • 2
  • Dae-Young Kim
    • 1
  • Kuk-Hyun Cho
    • 1
  1. 1.Department of Computer ScienceKwangwoon UniversityKorea
  2. 2.Department of Computer EngineeringSejong UniversityKorea

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