DIMENSIONS: Why do we need a new Data
Handling architecture for Sensor Networks?
Deepak Ganesan, Deborah Estrin and John Heidemann
USC/Information Sciences Institute
Citation
Deepak Ganesan, Deborah Estrin and John Heidemann. DIMENSIONS: Why do we need a new Data Handling architecture for Sensor Networks? Proceedings of the ACM Workshop on Hot Topics in Networks (Princeton, NJ, USA, Oct. 2002), 143–148. [PDF] [alt PDF]
Abstract
An important class of networked systems is emerging that involve very large numbers of small, low-power, wireless devices. These systems offer the ability to sense the environment densely, offering unprecedented opportunities for many scientific disciplines to observe the physical world. In this paper, we argue that a data handling architecture for these devices should incorporate their extreme resource constraints—energy, storage and processing—and spatio-temporal interpretation of the physical world in the design, cost model, and metrics of evaluation. We describe DIMENSIONS, a system that provides a unified view of data handling in sensor networks, incorporating long-term storage, multi-resolution data access and spatio-temporal pattern mining.Bibtex Citation
@inproceedings{Ganesan02c,
author = {Ganesan, Deepak and Estrin, Deborah and Heidemann, John},
title = {DIMENSIONS: Why do we need a new Data
Handling architecture for Sensor Networks?},
booktitle = {Proceedings of the ACM Workshop on Hot Topics in Networks},
year = {2002},
sortdate = {2002-10-01},
project = {ilense, cens, scadds, nocredit},
jsubject = {sensornet_general},
publisher = {ACM},
address = {Princeton, NJ, USA},
month = oct,
pages = {143--148},
jlocation = {johnh: pafile},
keywords = {dimensions, sensor network storage},
otherurl = {http://lecs.cs.ucla.edu/%7edeepak/PAPERS/dimensions.pdf},
url = {https://ant.isi.edu/%7ejohnh/PAPERS/Ganesan02c.html},
pdfurl = {https://ant.isi.edu/%7ejohnh/PAPERS/Ganesan02c.pdf},
copyrightholder = {ACM},
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myorganization = {USC/Information Sciences Institute}
}