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dc.contributor.convenorProf. Tad Wysockien_AU
dc.contributor.authorGonzalez, Rubenen_US
dc.contributor.editorBeata J. and Tadeusz A. Wysockien_US
dc.date.accessioned2017-04-24T10:36:17Z
dc.date.available2017-04-24T10:36:17Z
dc.date.issued2010en_US
dc.date.modified2011-06-02T05:08:52Z
dc.identifier.refurihttp://www.dspcs-witsp.com/icspcs_2010/index.htmlen_AU
dc.identifier.doi10.1109/ICSPCS.2010.5709762en_AU
dc.identifier.urihttp://hdl.handle.net/10072/36808
dc.description.abstractRecently the cost-benefits of automated sensing over traditional field surveys for population management of fauna has been recognised [1,2]. Remote monitoring through automatic identification based on sensor networks has followed one of two approaches [3,7,18]; using the sensor nodes to perform data analysis within the network or alternatively using the sensor network as a means for collecting data to be centrally processed. In either case a key goal is minimising power consumption in sensor nodes which imposes constraints on both processing and communication capabilities. While the first approach aims to minimise communication requirements the other aims to reduce processing requirements. In the context of sensor networks for remote monitoring utilising centralised processing, this paper considers the impact on two different strategies for reducing communication requirements on the overall system performance.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent113599 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencename4th International Conference on Signal Processing and Communication Systems (ICSPCS 2010)en_US
dc.relation.ispartofconferencetitle4th International Conference on Signal Processing and Communication Systems, ICSPCS’2010. Proceedingsen_US
dc.relation.ispartofdatefrom2010-12-13en_US
dc.relation.ispartofdateto2010-12-15en_US
dc.relation.ispartoflocationGold Coast, Australiaen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchWireless Communicationsen_US
dc.subject.fieldofresearchSignal Processingen_US
dc.subject.fieldofresearchArtificial Intelligence and Image Processing not elsewhere classifieden_US
dc.subject.fieldofresearchcode100510en_US
dc.subject.fieldofresearchcode090609en_US
dc.subject.fieldofresearchcode080199en_US
dc.titleEffects of Compression and Window Size on Remote Acoustic Identification Using Sensor Networksen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.rights.copyrightCopyright 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.en_AU
gro.date.issued2010
gro.hasfulltextFull Text


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