Watershed-based clustering for energy efficient data gathering in wireless sensor networks with mobile collector

dc.contributor.author	Κωνσταντόπουλος, Χαράλαμπος	el
dc.contributor.author	Μάμαλης, Βασίλης	el
dc.contributor.author	Πάντζιου, Γραμματή Ε.	el
dc.contributor.author	Θανασιάς, Βασίλειος	el
dc.date.accessioned	2015-05-25T20:45:46Z
dc.date.available	2015-05-25T20:45:46Z
dc.date.issued	2015-05-25
dc.identifier.uri	http://hdl.handle.net/11400/11155
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://link.springer.com/chapter/10.1007%2F978-3-642-32820-6_75	en
dc.subject	ασύρματα δίκτυα αισθητήρων
dc.subject	μετασχηματισμός υδροκρίτη
dc.subject	κόμβος συμπλέγματος
dc.subject	καταχώρηση δεδομένων
dc.subject	Wireless sensor networks
dc.subject	watershed transformation
dc.subject	node clustering
dc.subject	data gathering
dc.title	Watershed-based clustering for energy efficient data gathering in wireless sensor networks with mobile collector	en
heal.type	conferenceItem
heal.generalDescription	Πρακτικά συνεδρίου	el
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/sh2008004547
heal.identifier.secondary	DOI: 10.1007/978-3-642-32820-6_75
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Πληροφορικής Τ.Ε.	el
heal.publicationDate	2012-08-27
heal.bibliographicCitation	Konstantopoulos, C. Mamalis, B., Pantziou, G. and Thanasias, V. (2012) Watershed-Based Clustering for Energy Efficient Data Gathering in Wireless Sensor Networks with Mobile Collector. Proceedings of the 18th International European Conference on Parallel and Distributed Computing (Euro-Par 2012). Rhodes Island, Greece: Springer Berlin Heidelberg.	en
heal.abstract	This paper presents a clustering protocol combined with a mobile sink (MS) solution for efficient data gathering in wireless sensor networks (WSNs). The main insight for the cluster creation method is drawn from image processing field and namely from the watershed transformation which is widely used for image segmentation. The proposed algorithm creates multi-hop clusters whose clusterheads (CHs) as well as all cluster members near the CHs have high energy reserves. As these are exactly the nodes most burdened with relaying of data from other cluster members, the higher levels of available energy at these nodes prolong the network lifetime eventually. After cluster creation, a MS periodically visits each CH and collects the data from cluster members already gathered at the CH. Simulation results show the higher performance of the proposed scheme in comparison to other competent approaches from the literature.	en
heal.publisher	Springer Berlin Heidelberg	el
heal.fullTextAvailability	true
heal.conferenceName	Proceedings of the 18th International European Conference on Parallel and Distributed Computing (Euro-Par 2012)	en
heal.conferenceItemType	full paper