Implementing a trust and reputation model for robotic sensor networks

dc.contributor.author	Tuna, Gurkan	en
dc.contributor.author	Ποτηράκης, Στέλιος	el
dc.contributor.author	Κουλούρας, Γρηγόριος	el
dc.date.accessioned	2015-06-05T13:10:06Z
dc.date.available	2015-06-05T13:10:06Z
dc.date.issued	2015-06-05
dc.identifier.uri	http://hdl.handle.net/11400/15129
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.subject	Comparative performance evaluations
dc.subject	Robotic sensor networks
dc.subject	Συγκριτική αξιολόγηση των επιδόσεων
dc.subject	Ρομποτικά δίκτυα αισθητήρων
dc.title	Implementing a trust and reputation model for robotic sensor networks	en
heal.type	journalArticle
heal.classification	Technology
heal.classification	Electronics
heal.classification	Τεχνολογία
heal.classification	Ηλεκτρονική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85042383
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Ηλεκτρονική
heal.identifier.secondary	DOI: 10.5755/j01.eee.19.10.5884
heal.language	en
heal.access	campus
heal.publicationDate	2013
heal.bibliographicCitation	Tuna, G., Potirakis, S. and Koulouras, G. (2013) Implementing a trust and reputation model for robotic sensor networks. "Elektronika ir Elektrotechnika", 19 (10), p.3-8	en
heal.abstract	Robotic sensor networks (RSNs) can be described as networks of devices equipped with communication, sensing and actuation capabilities. Successful implementations of RSNs require tackling challenging problems lying at the intersection of robotics, communication and perception. In addition, RSNs resemble human societies and emerging intelligent multi-agent systems in some respects. In these collaborative distributed systems, each node decides which to interact with and forms a network with other nodes in order to improve the quality of the decisions. In order to achieve this goal, trust and reputation models are of practical use. In this paper, a trust and reputation model for RNSs is proposed. Also, performance evaluations of the model in comparison with well-known models in the literature are given to prove its effectiveness. The results of the performance evaluations prove that the proposed model is successful in RSNs comprising of a large number of sensor nodes. In addition, the processing and memory requirements of the proposed model are moderate and the system runs effectively in systems with low processing power and limited main memory.	en
heal.journalName	Elektronika ir Elektrotechnika	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true