Abstract
Sensor networks have been widely deployed for environmental monitoring which involves collecting readings over time for contaminant propagation, building comfort, intrusion detection and so on. In such emerging applications, data is collected in the form of continuous data streams, as opposed to finite stored databases. Due to the dynamic nature of the underlying data, several data compression and transformation techniques are well utilized in related studies. For answering user queries, both approximation and adaptability are identified to be important issues for effective synopsis maintenance. In this paper, the concept of self-organizing networks is extended through novel data management techniques. Specifically, information fusion with data localization and resource awareness for energy conservation are addressed.
| Original language | English |
|---|---|
| Title of host publication | Emerging Information Technology Conference 2005 |
| Pages | 123-125 |
| Number of pages | 3 |
| Volume | 2005 |
| DOIs | |
| Publication status | Published - 2005 |
| Event | Emerging Information Technology Conference 2005 - Taipei, Taiwan Duration: 2005 Aug 15 → 2005 Aug 16 |
Other
| Other | Emerging Information Technology Conference 2005 |
|---|---|
| Country | Taiwan |
| City | Taipei |
| Period | 05-08-15 → 05-08-16 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
Cite this
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Information fusion for self-organizing sensor networks. / Teng, Wei-Guang.
Emerging Information Technology Conference 2005. Vol. 2005 2005. p. 123-125 1544364.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Information fusion for self-organizing sensor networks
AU - Teng, Wei-Guang
PY - 2005
Y1 - 2005
N2 - Sensor networks have been widely deployed for environmental monitoring which involves collecting readings over time for contaminant propagation, building comfort, intrusion detection and so on. In such emerging applications, data is collected in the form of continuous data streams, as opposed to finite stored databases. Due to the dynamic nature of the underlying data, several data compression and transformation techniques are well utilized in related studies. For answering user queries, both approximation and adaptability are identified to be important issues for effective synopsis maintenance. In this paper, the concept of self-organizing networks is extended through novel data management techniques. Specifically, information fusion with data localization and resource awareness for energy conservation are addressed.
AB - Sensor networks have been widely deployed for environmental monitoring which involves collecting readings over time for contaminant propagation, building comfort, intrusion detection and so on. In such emerging applications, data is collected in the form of continuous data streams, as opposed to finite stored databases. Due to the dynamic nature of the underlying data, several data compression and transformation techniques are well utilized in related studies. For answering user queries, both approximation and adaptability are identified to be important issues for effective synopsis maintenance. In this paper, the concept of self-organizing networks is extended through novel data management techniques. Specifically, information fusion with data localization and resource awareness for energy conservation are addressed.
UR - http://www.scopus.com/inward/record.url?scp=33751171936&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33751171936&partnerID=8YFLogxK
U2 - 10.1109/EITC.2005.1544364
DO - 10.1109/EITC.2005.1544364
M3 - Conference contribution
SN - 0780393295
SN - 9780780393295
VL - 2005
SP - 123
EP - 125
BT - Emerging Information Technology Conference 2005
ER -