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» Active Learning Driven Data Acquisition for Sensor Networks
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PERCOM
2004
ACM
14 years 4 months ago
Learning to Detect User Activity and Availability from a Variety of Sensor Data
Using a networked infrastructure of easily available sensors and context-processing components, we are developing applications for the support of workplace interactions. Notions o...
Dave Snowdon, Jean-Luc Meunier, Martin Mühlen...
NCA
2008
IEEE
13 years 11 months ago
APART: Low Cost Active Replication for Multi-tier Data Acquisition Systems
This paper proposes APART (A Posteriori Active ReplicaTion), a novel active replication protocol specifically tailored for multi-tier data acquisition systems. Unlike existing ac...
Paolo Romano, Diego Rughetti, Francesco Quaglia, B...
PERCOM
2007
ACM
14 years 4 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
INFOCOM
2006
IEEE
13 years 11 months ago
Learn on the Fly: Data-Driven Link Estimation and Routing in Sensor Network Backbones
— In the context of IEEE 802.11b network testbeds, we examine the differences between unicast and broadcast link properties, and we show the inherent difficulties in precisely e...
Hongwei Zhang, Anish Arora, Prasun Sinha
CIDR
2007
141views Algorithms» more  CIDR 2007»
13 years 6 months ago
Data-Driven Processing in Sensor Networks
Wireless sensor networks are poised to enable continuous data collection on unprecedented scales, in terms of area location and size, and frequency. This is a great boon to field...
Adam Silberstein, Gregory Filpus, Kamesh Munagala,...