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dc.contributor.authorBanerjee, A.en
dc.contributor.authorMitra, A.en
dc.contributor.authorNajjar, W.en
dc.contributor.authorZeinalipour-Yazdi, Constantinos D.en
dc.contributor.authorKalogerakil, V.en
dc.contributor.authorGunopulos, Dimitriosen
dc.creatorBanerjee, A.en
dc.creatorMitra, A.en
dc.creatorNajjar, W.en
dc.creatorZeinalipour-Yazdi, Constantinos D.en
dc.creatorKalogerakil, V.en
dc.creatorGunopulos, Dimitriosen
dc.date.accessioned2019-11-13T10:38:24Z
dc.date.available2019-11-13T10:38:24Z
dc.date.issued2005
dc.identifier.isbn0-7803-9011-3
dc.identifier.isbn978-0-7803-9011-9
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/53609
dc.description.abstractLow power, high performance sensor designs are of particular importance nowadays considering the plethora of emerging applications in a wide range of fields. Applications such as audio capture, FFT (Fast Fourier Transform), image sensing, motion detection, feature extraction and cepstrum calculations generate raw data in much larger quantity than more mundane applications as temperature and humidity sensing. In-situ processing of data is an effective way to reduce the amount of information needed to be transmitted over the wireless links. The Co-S platform which we develop addresses this very crucial aspect of sensor network design. The Co-S integrated with a System on Chip (SoC) based host platform and a gigabyte scale energy efficient data storage system, simultaneously satisfies the constraints of low power consumption and a small form factor. As opposed to the Sense-and-Send approach which simply entails transmission of raw sensory data from the nodes, the proposed Sense-and-Store paradigm, builds upon the availability of the low power flash memories for storage of sensed data along with key query results (max, min, average, extracted harmonics) for transmission through the network. This approach not only reduces energy consumption (typically two orders of magnitude), of the sensing node in question, but also intuitively reduces network traffic load vis-à-vis complete deployment scenario. © 2005 IEEE.en
dc.source2005 Second Annual IEEE Communications Society Conference on Sensor and AdHoc Communications and Networks, SECON 2005en
dc.source2005 Second Annual IEEE Communications Society Conference on Sensor and AdHoc Communications and Networks, SECON 2005en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-33845511795&doi=10.1109%2fSAHCN.2005.1556859&partnerID=40&md5=2a6b9e7e95abc46a01f3472637871e28
dc.subjectPerformanceen
dc.subjectFeature extractionen
dc.subjectComputer architectureen
dc.subjectWireless telecommunication systemsen
dc.subjectTelecommunication linksen
dc.subjectData processingen
dc.subjectData storage equipmenten
dc.subjectMotion estimationen
dc.subjectFast Fourier transformsen
dc.subjectCepstrum calculationsen
dc.subjectCoprocessorsen
dc.subjectFlash storageen
dc.subjectImage sensorsen
dc.subjectMotion detectionen
dc.titleRISE - Co-S: High performance sensor storage and co-processing architectureen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/SAHCN.2005.1556859
dc.description.volume2005
dc.description.startingpage1
dc.description.endingpage12
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Conference code: 68743en
dc.description.notesCited By :22</p>en
dc.contributor.orcidZeinalipour-Yazdi, Constantinos D. [0000-0002-8388-1549]
dc.gnosis.orcid0000-0002-8388-1549


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