Connection-aware digital twin for mobile adhoc networks in the 5G era

Jesús-Azabal, Manuel; Zhang, Zheng; Gao, Bingxia; Yang, Jing; Soares, V.N.G.J.

Publication

Connection-aware digital twin for mobile adhoc networks in the 5G era

2024Journal article

dc.contributor.author	Jesús-Azabal, Manuel
dc.contributor.author	Zhang, Zheng
dc.contributor.author	Gao, Bingxia
dc.contributor.author	Yang, Jing
dc.contributor.author	Soares, V.N.G.J.
dc.date.accessioned	2024-11-05T09:42:43Z
dc.date.available	2024-11-05T09:42:43Z
dc.date.issued	2024
dc.description.abstract	5G Mobile Adhoc Networks (5G-MANETs) are a popular and agile solution for data transmission in local contexts while maintaining communication with remote entities via 5G. These characteristics have established 5G-MANETs as versatile communication infrastructures for deploying contextual applications, leveraging physical proximity while exploiting the possibilities of the Internet. As a result, there is growing interest in exploring the potential of these networks and their performance in real-world scenarios. However, the management and monitoring of 5G-MANETs are challenging due to their inherent characteristics, such as highly variable topology, unstable connections, energy consumption of individual devices, message routing, and occasional inability to connect to 5G. Considering these challenges, the proposed work aims to address real-time monitoring of 5G-MANETs using a connection-aware Digital Twin (DT). The approach provides two main functions: offering a live virtual representation of the network, even in scenarios where multiple nodes lack 5G connectivity, and estimating the performance of the infrastructure, enabling the specification of customized conditions. To achieve this, a communication architecture is proposed, analyzing its components and defining the involved processes. The DT is implemented and evaluated in a laboratory setting, assessing its accuracy in representing the physical network under varying conditions of topology and Internet availability. The results show 100% accuracy for the DT in fully connected topologies, with ultra-low latency averaging under 80 ms, and suitable performance in partially connected contexts, with latency averages below 3000 ms.	pt_PT
dc.description.sponsorship	FCT—Fundação para a Ciência e Tecnologia, I.P. by project reference UIDB/50008/2020, and DOI identifier https://doi.org/10.54499/UIDB/50008/2020	pt_PT
dc.description.version	info:eu-repo/semantics/publishedVersion	pt_PT
dc.identifier.citation	JESÚS-AZABAL, Manuel [et al.] (2024) - Connection-aware digital twin for mobile adhoc networks in the 5G era. Future Internet. 16:11, p.399. DOI: 10.3390/fi16110399	pt_PT
dc.identifier.doi	10.3390/fi16110399	pt_PT
dc.identifier.uri	http://hdl.handle.net/10400.11/9206
dc.language.iso	eng	pt_PT
dc.peerreviewed	yes	pt_PT
dc.publisher	MDPI	pt_PT
dc.relation.publisherversion	https://www.mdpi.com/1999-5903/16/11/399	pt_PT
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	pt_PT
dc.subject	Digital twin	pt_PT
dc.subject	5G mobile ad-hoc networks	pt_PT
dc.subject	Communication architecture	pt_PT
dc.subject	Quality of service	pt_PT
dc.title	Connection-aware digital twin for mobile adhoc networks in the 5G era	pt_PT
dc.type	journal article
dspace.entity.type	Publication
oaire.citation.issue	11	pt_PT
oaire.citation.startPage	399	pt_PT
oaire.citation.title	Future Internet	pt_PT
oaire.citation.volume	16	pt_PT
person.familyName	Jesús Azabal
person.familyName	Zhang
person.givenName	Manuel
person.givenName	Zheng
person.identifier	1226076
person.identifier	a4GD8aoAAAAJ
person.identifier.ciencia-id	5B19-E130-E382
person.identifier.orcid	0000-0003-0824-6956
person.identifier.orcid	0000-0002-0065-9468
person.identifier.orcid	0000-0002-8057-5474
rcaap.rights	openAccess	pt_PT
rcaap.type	article	pt_PT
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