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» Sparse data aggregation in sensor networks
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SASN
2006
ACM
15 years 3 months ago
RANBAR: RANSAC-based resilient aggregation in sensor networks
We present a novel outlier elimination technique designed for sensor networks. This technique is called RANBAR and it is based on the RANSAC (RANdom SAmple Consensus) paradigm, wh...
Levente Buttyán, Péter Schaffer, Ist...
ICDE
2009
IEEE
223views Database» more  ICDE 2009»
15 years 11 months ago
Another Outlier Bites the Dust: Computing Meaningful Aggregates in Sensor Networks
Abstract-- Recent work has demonstrated that readings provided by commodity sensor nodes are often of poor quality. In order to provide a valuable sensory infrastructure for monito...
Antonios Deligiannakis, Yannis Kotidis, Vasilis Va...
ICDE
2007
IEEE
107views Database» more  ICDE 2007»
15 years 11 months ago
Many-to-Many Aggregation for Sensor Networks
Wireless sensor networks have enormous potential to aid data collection in a number of areas, such as environmental and wildlife research. In this paper, we address the challenges...
Adam Silberstein, Jun Yang 0001
ICDE
2004
IEEE
140views Database» more  ICDE 2004»
15 years 11 months ago
Approximate Aggregation Techniques for Sensor Databases
In the emerging area of sensor-based systems, a significant challenge is to develop scalable, fault-tolerant methods to extract useful information from the data the sensors collec...
Jeffrey Considine, Feifei Li, George Kollios, John...
DMSN
2010
ACM
14 years 11 months ago
Query-driven data collection and data forwarding in intermittently connected mobile sensor networks
In sparse and intermittently connected Mobile Sensor Networks (MSNs), the base station cannot easily get the data objects acquired by the mobile sensors in the field. When users q...
Wei Wu, Hock-Beng Lim, Kian-Lee Tan