An adaptive epidemic information dissemination scheme with cross-layer enhancements

dc.contributor.author	Κοντός, Θεοφάνης	el
dc.contributor.author	Ζαϊμίδης, Ευριπίδης	el
dc.contributor.author	Αναγνωστόπουλος, Χρήστος Β.	el
dc.contributor.author	Χατζηευθυμιάδης, Στάθης Π.	el
dc.contributor.author	Ζέρβας, Ευάγγελος	el
dc.date.accessioned	2015-05-23T12:08:47Z
dc.date.issued	2015-05-23
dc.identifier.uri	http://hdl.handle.net/11400/10974
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://ieeexplore.ieee.org/	en
dc.subject	Ad hoc networks
dc.subject	Wireless sensor networks
dc.subject	Sensor nodes
dc.subject	Information dissemination
dc.subject	Αισθητήρες ασύρματων δικτύων
dc.subject	Κόμβοι αισθητήρων
dc.subject	Διάδοση πληροφοριών
dc.title	An adaptive epidemic information dissemination scheme with cross-layer enhancements	en
heal.type	conferenceItem
heal.classification	Technology
heal.classification	Electrical engineering
heal.classification	Τεχνολογία
heal.classification	Ηλεκτρολογία Μηχανολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://zbw.eu/stw/descriptor/18426-4
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Ηλεκτρολογία Μηχανολογία
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2008004547
heal.identifier.secondary	DOI: 10.1109/ISCC.2011.5983845
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.publicationDate	2011
heal.bibliographicCitation	Kontos, T., Zaimidis, E., Anagnostopoulos, C.B., Hadjiefthymiades, S.P. & Zervas, E. (2011) An adaptive epidemic information dissemination scheme with cross-layer enhancements, In: Proceedings of the 16th IEEE Symposium on Computers and Communications, ISCC'11. Corfu, Greece. 28 June - 1 July, 2011. [online]. p. 230-235, 5983845. Available from: http://ieeexplore.ieee.org/	en
heal.abstract	Ad hoc networks such as Wireless Sensor Networks (WSN) are characterized by the scarcity of energy resources (among other resource types). Their intelligent design can extend their lifetime without compromising the operation of network nodes and the applications running on them. To this end we propose an adaptive epidemic scheme that helps reduce energy expenditure through intelligent tuning of the infection (forwarding) rate. Redundant communications and experienced error rate drive the adaptation of the forwarding rate. Simulation results show that significant energy gains can be obtained through the proposed scheme.	en
heal.publisher	IEEE	en
heal.fullTextAvailability	false
heal.conferenceName	16th IEEE Symposium on Computers and Communications, ISCC'11	en
heal.conferenceItemType	poster