ABP

dc.contributor.author	Γαβαλάς, Δαμιανός	el
dc.contributor.author	Πάντζιου, Γραμματή Ε.	el
dc.contributor.author	Κωνσταντόπουλος, Χαράλαμπος	el
dc.contributor.author	Μάμαλης, Βασίλης	el
dc.date.accessioned	2015-05-24T18:30:26Z
dc.date.issued	2015-05-24
dc.identifier.uri	http://hdl.handle.net/11400/11065
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://www.inderscience.com/info/inarticle.php?artid=22710	en
dc.subject	κινητά δίκτυα
dc.subject	αλγόριθμοι ομαδοποίησης
dc.subject	σύμπλεγμα επεκτασιμότητας
dc.subject	σύμπλεγμα σταθερότητας
dc.subject	σύμπλεγμα διαχειρισιμότητας
dc.subject	ενεργειακή απόδοση
dc.subject	προσομοίωση
dc.subject	Ad hoc networks (Computer networks)
dc.subject	clustering algorithms
dc.subject	cluster scalability
dc.subject	cluster stability
dc.subject	cluster manageability
dc.subject	energy efficiency
dc.subject	simulation
dc.title	ABP	en
heal.type	journalArticle
heal.secondaryTitle	a low-cost, energy-efficient clustering algorithm for relatively static and quasi-static MANETs	en
heal.classification	Τεχνολογία
heal.classification	Πληροφορική
heal.classification	Technology
heal.classification	Computer science
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Πληροφορική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2007004723
heal.keywordURI	http://lod.nal.usda.gov/37102
heal.identifier.secondary	DOI: 10.1504/IJSNET.2008.022710
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Πληροφορικής Τ.Ε.	el
heal.publicationDate	2008
heal.bibliographicCitation	Gavalas, D., Pantziou, G., Konstantopoulos, C. and Mamalis, B. (2008) ABP: a low-cost, energy-efficient clustering algorithm for relatively static and quasi-static MANETs. International Journal of Sensor Networks (IJSNet). Special issue on Wireless Ad Hoc and Sensor Networks. [Online] 4 (4). pp.260-269. Available from: http://www.inderscience.com [Accessed 24/05/2015]	en
heal.abstract	Clustering techniques have been proposed to construct hierarchies of nodes inside Mobile Ad Hoc Networks (MANETs) thereby increasing their scalability and manageability and reducing the amount of maintained routing information. Herein, we introduce a distributed clustering algorithm that uses both location and energy metrics for cluster formation. Our proposed solution addresses cluster stability, manageability and energy efficiency issues. Unlike existing active clustering methods, our algorithm relieves the network from the unnecessary burden of control messages broadcasting, especially for relatively static and quasi-static network topologies. The efficiency, scalability and competence of our algorithm against alternative approaches have been demonstrated through simulation results.	en
heal.publisher	Inderscience Publishers	en
heal.journalName	International Journal of Sensor Networks (IJSNet)	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true