Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/32743
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dc.contributor.authorBojadzievski, Simon-
dc.contributor.authorKalendar, Marija-
dc.contributor.authorShuminoski, Tomislav-
dc.date.accessioned2020-03-11T13:28:27Z-
dc.date.available2020-03-11T13:28:27Z-
dc.date.issued2020-
dc.identifier.urihttps://opendata.uni-halle.de//handle/1981185920/32927-
dc.identifier.urihttp://dx.doi.org/10.25673/32743-
dc.description.abstractThe paper provides a novel approach of using heterogeneous devices and future networks, with impact on ultra-reliable services for the next generation 5G networks and emergency mission critical data. The usercentric framework used here, together with the network interoperability, as well as the symbiosis with emergency communications systems, complements the IoT systems and the heterogeneous networks, enabling reliable transfer of time critical data communication. A new approach is establishing reliable communication of time-critical data, where the user is at the center and is able to use multiple available data networks to deliver the service. The architecture of the EMCD system model is based on the fundamental principals of 5G architecture, allowing IoT devices to communicate with IoT applications, hosted in a cloud datacentre. The simulation results and analysis show superior performance with a high level of ultra-reliable and low latency communications in a variety of network conditions and different network coverage. The packet duplication, the proposed emergency and mission-critical data algorithm, and multi-connectivity architectures are the basic principles that provide solution for high reliability and low latency.-
dc.language.isoeng-
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/-
dc.subjectDatenverarbeitung-
dc.subject.ddcDDC::000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::004 Datenverarbeitung; Informatik-
dc.titleUltra Reliable Advanced Framework for Emergency and Mission Critical Data for 5G Services-
local.versionTypepublishedVersion-
local.openaccesstrue-
dc.identifier.ppn1692257072-
local.bibliographicCitation.year2020-
cbs.sru.importDate2020-03-11T12:41:51Z-
local.bibliographicCitationEnthalten in Proceedings of the 8th International Conference on Applied Innovations in IT - Koethen, Germany : Edition Hochschule Anhalt, 2020-
Appears in Collections:International Conference on Applied Innovations in IT (ICAIIT)

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