Mobile agent middleware for autonomic data fusion in wireless sensor networks

dc.contributor.author	Μπιτζιόπουλος, Αριστείδης	el
dc.contributor.author	Γαβαλάς, Δαμιανός	el
dc.contributor.author	Κωνσταντόπουλος, Χαράλαμπος	el
dc.contributor.author	Πάντζιου, Γραμματή Ε.	el
dc.date.accessioned	2015-05-23T13:31:07Z
dc.date.issued	2015-05-23
dc.identifier.uri	http://hdl.handle.net/11400/10979
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%2F978-0-387-89828-5_3	en
dc.subject	Ασύρματα δίκτυα αισθητήρων
dc.subject	Αυτόνομη συγχώνευση δεδομένων
dc.subject	Ενδιάμεσο λογισμικό
dc.subject	Wireless sensor networks
dc.subject	Autonomic Data Fusion
dc.subject	Middleware
dc.title	Mobile agent middleware for autonomic data fusion in wireless sensor networks	en
heal.type	bookChapter
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.keywordURI	http://id.loc.gov/authorities/subjects/sh95004140
heal.identifier.secondary	DOI: 10.1007/978-0-387-89828-5_3
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	2009-05
heal.bibliographicCitation	Mpitziopoulos, A., Gavalas, D., Konstantopoulos, C. and Pantziou, G. (2009) Mobile Agent Middleware for Autonomic Data Fusion in Wireless Sensor Networks. In: Denko, M.K., Yang, L.T. and Zhang, Y. (Eds.) Autonomic Computing and Networking. 3, pp.57-81. USA: Springer	en
heal.abstract	Mobile agents (MAs) are referred to as autonomous application programs with the inherent ability to move from node to node towards a goal completion. In the context of wireless sensor networks (WSNs), MAs may be used by network administrators in the process of combining data and knowledge from different sources aiming at maximizing the useful information content. MAs have been initially developed to replace the client/server model which exhibits many disadvantages, particularly in WSN environments (e.g.heavy bandwidth usage and excessive energy expenditure). The most promising advantages of MAs in WSN environments include decreased usage of the wireless spectrum (large volumes of raw sensory data are filtered at the source) and energy consumption, increased reliability due to their inherent support for disconnected operations, their ability of cloning themselves to enable parallel execution of similar tasks, etc. The main objective of this chapter is to review and evaluate the most representative MA-based middleware proposals for autonomic data fusion tasks in WSNs and evaluate their relevant strengths and shortcomings. Although the chapter’s focus is on autonomic data fusion tasks, other applications fields that may benefit from the MAs distributed computing paradigm are identified. Open research issues in this field are also discussed.	en
heal.publisher	Springer US	en
heal.fullTextAvailability	true
heal.bookName	Autonomic Computing and Networking	en