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E. Cho, K. Wong, B. Kusy, and L. Guibas, Enabling data interpretation through user collaboration in sensor networks, Proc. SenSys Workshop on Applications, Systems, and Algorithms for Image Sensing, 2008
Abstract:
In order for sensor network deployments to be successful, users need to be able
to derive relevant and interesting information from sensor data. Information
rich multimedia data can provide high utility to users, but their
interpretation is hard in resource constrained domains. We note that humans can
derive information from images efficiently and propose a multi-tier camera
sensor network that combines simple in-network data interpretation with a
lightweight user recommendation system. We explore ways of how to decrease
demands on an individual user, to balance the benefits gained from our
system with the required work that needs to be put in. One of the advantages of
this approach is that its cost-benefit ratio will improve as the system grows
in scale, enabling techniques from large social networks, such as data
recommendation based on user similarities.
Bibtex:
@ARTICLE{chwkg-editucsn-08,
author = {E. Cho, K. Wong, B. Kusy, and L. Guibas},
title = {Enabling data interpretation through user collaboration in sensor networks},
journal = {Proc. SenSys Workshop on Applications, Systems, and Algorithms for Image Sensing},
year = {2008},
}
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