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Conference Paper: Thresholded Range Aggregation in Sensor Networks

TitleThresholded Range Aggregation in Sensor Networks
Authors
Issue Date2009
PublisherI E E E.
Citation
The 10th International Conference on Mobile Data Management Systems: Systems, Services and Middleware (MDM 2009), Taipei, Taiwan, 18-20 May 2009, p. 162-171 How to Cite?
AbstractThe recent advances in wireless sensor technologies (e.g., Mica, Telos motes) enable the economic deployment of lightweight sensors for capturing data from their surrounding environment, serving various monitoring tasks, like forest wildfire alarming and volcano activity. We propose a novel query called thresholded range aggregate query (TRA), which retrieves the IDs of the sensors for which the average measurement in their neighborhood exceeds a user-given threshold. This query provides results that they are robust against individual sensor abnormality, and yet precisely summarize the sensors' status in each local region. In order to process the (snapshot) TRA query, we develop energy-efficient protocols based on appropriate operators and filters in sensor nodes. The design of these operators and filters is non-trivial, due to the fact that each sensor measurement influences the actual results of other nodes in its neighborhood region. Furthermore, we extend our protocols for continuous evaluation of the TRA query. Experimental results show that our proposed solutions indeed offer substantial energy savings for both real and synthetic sensor networks.© 2012 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/61175
ISBN

 

DC FieldValueLanguage
dc.contributor.authorLin, Zen_HK
dc.contributor.authorYiu, MLen_HK
dc.contributor.authorMamoulis, Nen_HK
dc.date.accessioned2010-07-13T03:32:32Z-
dc.date.available2010-07-13T03:32:32Z-
dc.date.issued2009en_HK
dc.identifier.citationThe 10th International Conference on Mobile Data Management Systems: Systems, Services and Middleware (MDM 2009), Taipei, Taiwan, 18-20 May 2009, p. 162-171en_HK
dc.identifier.isbn9780769536507-
dc.identifier.urihttp://hdl.handle.net/10722/61175-
dc.description.abstractThe recent advances in wireless sensor technologies (e.g., Mica, Telos motes) enable the economic deployment of lightweight sensors for capturing data from their surrounding environment, serving various monitoring tasks, like forest wildfire alarming and volcano activity. We propose a novel query called thresholded range aggregate query (TRA), which retrieves the IDs of the sensors for which the average measurement in their neighborhood exceeds a user-given threshold. This query provides results that they are robust against individual sensor abnormality, and yet precisely summarize the sensors' status in each local region. In order to process the (snapshot) TRA query, we develop energy-efficient protocols based on appropriate operators and filters in sensor nodes. The design of these operators and filters is non-trivial, due to the fact that each sensor measurement influences the actual results of other nodes in its neighborhood region. Furthermore, we extend our protocols for continuous evaluation of the TRA query. Experimental results show that our proposed solutions indeed offer substantial energy savings for both real and synthetic sensor networks.© 2012 IEEE.en_HK
dc.languageengen_HK
dc.publisherI E E E.-
dc.relation.ispartofI E E E International Conference on Mobile Data Management Proceedingsen_HK
dc.rightsI E E E International Conference on Mobile Data Management Proceedings. Copyright © I E E E.-
dc.rights©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleThresholded Range Aggregation in Sensor Networksen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailMamoulis, N: nikos@cs.hku.hken_HK
dc.identifier.authorityMamoulis, N=rp00155en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/MDM.2009.27en_HK
dc.identifier.scopuseid_2-s2.0-70349516283-
dc.identifier.hkuros166358en_HK
dc.identifier.spage162en_HK
dc.identifier.epage171en_HK
dc.publisher.placeUnited Statesen_HK

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