Dimensions: why do we need a new data handling architecture for sensor networks?
By Deepak Ganesan, Deborah Estrin, John S. Heidemann. CCRV, 2003
371 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/5db8a1514ce19c3c5d626b570c58af2581c2356c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Daniela Tulone
- Qing Fang
- Samuel Madden
- Jie Gao
- Leonidas J. Guibas
- M. Franklin
- M. Tamer Özsu
- Lukasz Golab
In Computer Vision and Pattern Recognition
- Samuel Madden
- Daniela Tulone
- Leonidas J. Guibas
- Luc Van Gool
- Jitendra Malik
- Xiaogang Wang
- Andrea Vedaldi
- Trevor Darrell
Citations in the corpus
- Locating and bypassing routing holes in sensor networks (2004, background): “Holes can also be used in information storage mechanisms in sensor networks, such as the geographic hash table (GHT) [2] and DIMENSIONS [6].”
- Wireless Sensor Networks for Ecology (2005, methodology): “Manual methods of quality control and quality assurance are rapidly overwhelmed, so automated tools and analytic workflows are needed to filter erroneous data (Withey et al. 2001, Ganesan et al. 2003).”
- PAQ: Time Series Forecasting for Approximate Query Answering in Sensor Networks (2006, methodology): “Autoregressive time series models have been widely used outside the wireless sensor network domain as a way to approximate and summarize time series with applications in finance, communication, weather prediction, and a variety of other domains.”