BibTeX for papers by David Kotz; for complete/updated list see
https://www.cs.dartmouth.edu/~kotz/research/papers.html

@InProceedings{li:wwasn07,
  author =        {Ming Li and David Kotz},
  title =         {{Group-aware Stream Filtering}},
  booktitle =     {{Proceedings of the Workshop on Wireless Ad hoc and Sensor Networks (WWASN)}},
  year =          2007,
  month =         {June},
  numpages =      8,
  publisher =     {IEEE},
  copyright =     {IEEE},
  address =       {Toronto},
  DOI =           {10.1109/ICDCSW.2007.38},
  URL =           {https://www.cs.dartmouth.edu/~kotz/research/li-wwasn07/index.html},
  abstract =      {In this paper we are concerned with disseminating high-volume data streams to many simultaneous context-aware applications over a low-bandwidth wireless mesh network. For bandwidth efficiency, we propose a \emph{group-aware stream filtering} approach, used in conjunction with multicasting, that exploits two overlooked, yet important, properties of these applications: 1) many applications can tolerate some degree of ``slack'' in their data quality requirements, and 2) there may exist multiple subsets of the source data satisfying the quality needs of an application. We can thus choose the ``best alternative'' subset for each application to maximize the data overlap within the group to best benefit from multicasting. An evaluation of our prototype implementation shows that group-aware data filtering can save bandwidth with low CPU overhead.},
}