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dc.contributor.authorChatzigiannakis, Ioannisen
dc.contributor.authorDimitriou, Tassos D.en
dc.contributor.authorMavronicolas, Mariosen
dc.contributor.authorNikoletseas, Sotiris E.en
dc.contributor.authorSpirakis, Paul G.en
dc.creatorChatzigiannakis, Ioannisen
dc.creatorDimitriou, Tassos D.en
dc.creatorMavronicolas, Mariosen
dc.creatorNikoletseas, Sotiris E.en
dc.creatorSpirakis, Paul G.en
dc.date.accessioned2019-11-13T10:38:53Z
dc.date.available2019-11-13T10:38:53Z
dc.date.issued2004
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/53684
dc.description.abstractSmart Dust is comprised of a vast number of ultra-small fully autonomous computing and communication devices, with very restricted energy and computing capabilities, that co-operate to accomplish a large sensing task. Smart Dust can be very useful in practice i.e. in the local detection of a remote crucial event and the propagation of data reporting its realization to a control center. In this work, we have implemented and experimentally evaluated four protocols (PFR, LTP and two variations of LTP which we here introduce) for local detection and propagation in smart dust networks, under new, more general and realistic modelling assumptions. We comparatively study, by using extensive experiments, their behavior highlighting their relative advantages and disadvantages. All protocols are very successful. In the setting we considered here, PFR seems to be faster while the LTP based protocols are more energy efficient. © Springer-Verlag 2003.en
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-35048835292&partnerID=40&md5=4c623183cecd9c90c9b1e114f3429466
dc.subjectEnergy efficienten
dc.subjectComparative studiesen
dc.subjectEnergy efficiencyen
dc.subjectAutonomous computingen
dc.subjectCommunication deviceen
dc.subjectComputing capabilityen
dc.subjectData propagationen
dc.subjectDusten
dc.subjectRealistic modellingen
dc.subjectSmart dust networksen
dc.titleA Comparative Study of Protocols for Efficient Data Propagation in Smart Dust Networksen
dc.typeinfo:eu-repo/semantics/article
dc.description.volume2790
dc.description.startingpage1003
dc.description.endingpage1016
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :8</p>en
dc.source.abbreviationLect. Notes Comput. Sci.en
dc.contributor.orcidSpirakis, Paul G. [0000-0001-5396-3749]
dc.gnosis.orcid0000-0001-5396-3749


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