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dc.contributor.authorZinonos, Zinonen
dc.contributor.authorVassiliou, Vasosen
dc.creatorZinonos, Zinonen
dc.creatorVassiliou, Vasosen
dc.date.accessioned2021-01-22T10:47:49Z
dc.date.available2021-01-22T10:47:49Z
dc.date.issued2019
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/62446
dc.description.abstractA number of sensor network applications are envisioned to be applied to industry settings where the existence of mobile nodes (MN) is required. In critical applications, the realtime monitoring of a MN must always be available, something that requires the existence of a suitable mobility protocol to control the handoff procedure. In this paper, we use an industrial WSN setting to perform a comprehensive performance evaluation of different mobility handling solutions based on single-and multiple-metric options. The results show that Fuzzy Logic-based Mobility Controller (FLMC), the multiple-metric approach we used (based on Fuzzy Logic), performs better compared to any single metric-based approach under a varying set of conditions. More specifically, we demonstrate that the Fuzzy Logic -based approach can efficiently control the handoff triggering procedure and provide high reliability (low packet loss) under different mobility models, different radio propagation models, and different topologies.en
dc.source2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS)en
dc.titleMobility Management Solutions in Industrial Wireless Sensor Networksen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/DCOSS.2019.00121
dc.description.startingpage675
dc.description.endingpage681
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.contributor.orcidVassiliou, Vasos [0000-0001-8647-0860]
dc.gnosis.orcid0000-0001-8647-0860


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