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.
| Original language | English |
|---|---|
| Title of host publication | Advanced Web and Network Technologies, and Applications - APWeb 2006 International Workshops |
| Subtitle of host publication | XRA, IWSN, MEGA, and ICSE, Proceedings |
| Pages | 206-213 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - 2006 Jul 6 |
| Event | APWeb 2006 International Workshops: XRA, IWSN, MEGA, and ICSE - Harbin, China Duration: 2006 Jan 16 → 2006 Jan 18 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 3842 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | APWeb 2006 International Workshops: XRA, IWSN, MEGA, and ICSE |
|---|---|
| Country | China |
| City | Harbin |
| Period | 06/1/16 → 06/1/18 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
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A self-management framework for wireless sensor networks. / Cha, Si Ho; Choi, Jongoh; Song, Jooseok.
Advanced Web and Network Technologies, and Applications - APWeb 2006 International Workshops: XRA, IWSN, MEGA, and ICSE, Proceedings. 2006. p. 206-213 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3842 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - A self-management framework for wireless sensor networks
AU - Cha, Si Ho
AU - Choi, Jongoh
AU - Song, Jooseok
PY - 2006/7/6
Y1 - 2006/7/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33745654338&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745654338&partnerID=8YFLogxK
U2 - 10.1007/11610496_26
DO - 10.1007/11610496_26
M3 - Conference contribution
AN - SCOPUS:33745654338
SN - 3540311580
SN - 9783540311584
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 206
EP - 213
BT - Advanced Web and Network Technologies, and Applications - APWeb 2006 International Workshops
ER -