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Using association rules for energy conservation in wireless sensor networks
conference contribution
posted on 2008-01-01, 00:00 authored by S K Chong, S Krishnaswamy, Seng LokeSeng Loke, M M GaberFrequent radio transmissions among sensors, or from sensors to the basestation, have always been a major energy drain. One of the approaches to reduce the data transmitted to the basestation is to shift the bulk of data processing to networked sensor nodes; for instance, sensors to send only data aggregates to reduce the over all amount of data exchanged. Sensor nodes. however, are quite limited in terms of their energy and processing power, and as such. traditional centralised data mining algorithms are infeasible to be directly implemented on sensors. In this paper, we modify APRIORI to find strong rules from sensor readings in a sensor network and using these rules, autonomously conbol sensor network operations or supplement sensor operations with a rule knowledge base. For example, triggers activated from the rules could be used to sleep sensors or reduce data transmissions to conserve sensor energy Our work here includes a detailed implementation of a lightweight rule learning algorithm for a resource-constrainted sensor network, with simulation results for a group node setup running the algorithm. Copyright 2008 ACM.
History
Event
Applied Computing. Symposium (23rd : 2008 : Fortaleza, Brazil)Pagination
971 - 975Publisher
ACMLocation
Fortaleza, BrazilPlace of publication
New York, N.Y.Publisher DOI
Start date
2008-03-16End date
2008-03-20ISBN-13
9781595937537Language
engPublication classification
E1.1 Full written paper - refereedEditor/Contributor(s)
Robert Wainwright, Hisham HaddadTitle of proceedings
SAC 2008 : Proceedings of the ACM Symposium on Applied ComputingUsage metrics
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