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Return to Sensor Databases
We discuss the design of an acquisitional query processor for data collection in sensor networks. Acquisitional issues are those that pertain to where, when, and how often data is physically acquired (sampled) and delivered to query processing operators. By focusing on the locations and costs of acquiring data, we are able to significantly reduce power consumption over traditional passive systems that assume the a priori existence of data. We discuss simple extensions to SQL for controlling data acquisition, and show how acquisitional issues influence query op- timization, dissemination, and execution. We evaluate these issues in the context of TinyDB, a distributed query processor for smart sensor devices, and show how acquisitional techniques can provide significant reductions in power consumption on our sensor devices.
@inproceedings {DBLP:conf/sigmod/MaddenFHH03, author = {Samuel Madden and Michael J. Franklin and Joseph M. Hellerstein and Wei Hong}, booktitle = {SIGMOD Conference}, title = {The Design of an Acquisitional Query Processor For Sensor Networks.}, pages = {491-502}, year = {2003}, url = {db/conf/sigmod/sigmod2003.html#MaddenFHH03}, ee = {http://www.acm.org/sigmod/sigmod03/eproceedings/papers/r18p01.pdf}, crossref = {conf/sigmod/2003}, bibsource = {DBLP, http://dblp.uni-trier.de} }  ©2004 Association for Computing Machinery |
