A self-management framework for wireless sensor networks

  • Authors:
  • Si-Ho Cha;Jongoh Choi;JooSeok Song

  • Affiliations:
  • Department of Computer Engineering, Sejong University, Korea;Department of Computer Science, Yonsei University, Korea;Department of Computer Science, Yonsei University, Korea

  • Venue:
  • APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
  • Year:
  • 2006

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Abstract

In wireless sensor networks (WSNs), a large number of sensor nodes are deployed over a large area and long distances and multi-hop communication is required between nodes. So managing numerous wireless sensor nodes directly is very complex, and is not efficient. The management of WSNs must be autonomic self-managed with a minimum of human interference, and robust to changes in network states. To do this, we propose a scalable self-management framework for WSNs called SNOWMAN (SeNsOr netWork MANagement) framework. Our SNOWMAN framework is based on hierarchical management architecture and on the policy-based network management (PBNM) paradigm. SNOWMAN can reduce the costs of managing sensor nodes and of the communication among them using hierarchical clustering architecture. SNOWMAN can also provide administrators with a solution to simplify and automate the management of WSNs using PBNM paradigm.