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Conference Paper: Optimizing data acquisition by sensor-channel co-allocation in wireless sensor networks

TitleOptimizing data acquisition by sensor-channel co-allocation in wireless sensor networks
Authors
KeywordsCo-allocation
Completeness
Data quality
Heuristic
Scheduling
Timeliness
Wireless sensor network
Issue Date2010
PublisherIEEE.
Citation
The 17th IEEE International Conference on High Performance Computing (HiPC 2010), Dona Paula, Argentina, 19-22 December 2010. In Proceedings of the 17th IEEE HiPC, 2010, p. 1-10 How to Cite?
AbstractWireless sensor networks (WSNs) should handle multiple sensing tasks for various applications. How to improve the quality of the data acquired in such resource constrained environment is a challenging issue. In this paper, we propose a sensor-channel co-allocation model for scheduling the sensing tasks. The proposed model considers the capability, coupling and load balancing constraints for sensing data acquisition, and can guarantee transmission of sensed data in real-time while avoiding data incompleteness in an efficient way. A spatiotemporal metric called sensing-span is proposed to evaluate the tasks' execution cost of achieving desired data quality. We extend computation task scheduling algorithms to support sensor-channel co-allocation problem and a heuristic called Minimum Service Capability Fragment (MSCF) is introduced for task scheduling to minimize the waste of reserved channel capacity. Simulation results show that MSCF can improve the performance of data acquisition in WSNs as compared with other heuristics, when scheduling a large number of concurrent data acquisition tasks. ©2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/125722
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorWang, Yen_HK
dc.contributor.authorWang, CLen_HK
dc.contributor.authorCao, JNen_HK
dc.contributor.authorChan, Aen_HK
dc.date.accessioned2010-10-31T11:48:05Z-
dc.date.available2010-10-31T11:48:05Z-
dc.date.issued2010en_HK
dc.identifier.citationThe 17th IEEE International Conference on High Performance Computing (HiPC 2010), Dona Paula, Argentina, 19-22 December 2010. In Proceedings of the 17th IEEE HiPC, 2010, p. 1-10en_HK
dc.identifier.isbn978-1-4244-8520-8-
dc.identifier.urihttp://hdl.handle.net/10722/125722-
dc.description.abstractWireless sensor networks (WSNs) should handle multiple sensing tasks for various applications. How to improve the quality of the data acquired in such resource constrained environment is a challenging issue. In this paper, we propose a sensor-channel co-allocation model for scheduling the sensing tasks. The proposed model considers the capability, coupling and load balancing constraints for sensing data acquisition, and can guarantee transmission of sensed data in real-time while avoiding data incompleteness in an efficient way. A spatiotemporal metric called sensing-span is proposed to evaluate the tasks' execution cost of achieving desired data quality. We extend computation task scheduling algorithms to support sensor-channel co-allocation problem and a heuristic called Minimum Service Capability Fragment (MSCF) is introduced for task scheduling to minimize the waste of reserved channel capacity. Simulation results show that MSCF can improve the performance of data acquisition in WSNs as compared with other heuristics, when scheduling a large number of concurrent data acquisition tasks. ©2010 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE.-
dc.relation.ispartofProceedings of the IEEE International Conference on High Performance Computing, HiPC 2010en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsProceedings of the 17th IEEE International Conference on High Performance Computing. Copyright © IEEE.-
dc.rights©2010 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.subjectCo-allocationen_HK
dc.subjectCompletenessen_HK
dc.subjectData qualityen_HK
dc.subjectHeuristicen_HK
dc.subjectSchedulingen_HK
dc.subjectTimelinessen_HK
dc.subjectWireless sensor networken_HK
dc.titleOptimizing data acquisition by sensor-channel co-allocation in wireless sensor networksen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=978-1-4244-8520-8&volume=&spage=1&epage=10&date=2010&atitle=Optimizing+data+acquisition+by+sensor-channel+co-allocation+in+wireless+sensor+networks-
dc.identifier.emailWang, CL:clwang@cs.hku.hken_HK
dc.identifier.authorityWang, CL=rp00183en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/HIPC.2010.5713167en_HK
dc.identifier.scopuseid_2-s2.0-79952813754en_HK
dc.identifier.hkuros179403en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79952813754&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage1-
dc.identifier.epage10-
dc.description.otherThe 17th IEEE International Conference on High Performance Computing (HiPC 2010), Dona Paula, Argentina, 19-22 December 2010. In Proceedings of the 17th IEEE HiPC, 2010, p. 1-10-
dc.identifier.scopusauthoridWang, Y=36629685900en_HK
dc.identifier.scopusauthoridWang, CL=7501646188en_HK
dc.identifier.scopusauthoridCao, JN=7403354073en_HK
dc.identifier.scopusauthoridChan, A=37039341300en_HK

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