A self-management framework for wireless sensor networks

Si Ho Cha, Jongoh Choi, Jooseok Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationAdvanced Web and Network Technologies, and Applications - APWeb 2006 International Workshops
Subtitle of host publicationXRA, IWSN, MEGA, and ICSE, Proceedings
Number of pages8
Publication statusPublished - 2006
EventAPWeb 2006 International Workshops: XRA, IWSN, MEGA, and ICSE - Harbin, China
Duration: 2006 Jan 162006 Jan 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3842 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


OtherAPWeb 2006 International Workshops: XRA, IWSN, MEGA, and ICSE

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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