Dynamic Bond Percolation-Based Reliable Topology Evolution Model for Dynamic Networks

Han, Z; Zhao, G; Hu, Y; Xu, C; Cheng, K; Yu, S

Dynamic Bond Percolation-Based Reliable Topology Evolution Model for Dynamic Networks

Han, Z Zhao, G Hu, Y Xu, C Cheng, K Yu, S

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Transactions on Network and Service Management, 2024, PP, (99), pp. 1-1
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Han, Z
dc.contributor.author	Zhao, G
dc.contributor.author	Hu, Y
dc.contributor.author	Xu, C
dc.contributor.author	Cheng, K
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743
dc.date.accessioned	2024-08-07T05:27:12Z
dc.date.available	2024-08-07T05:27:12Z
dc.date.issued	2024-01-01
dc.identifier.citation	IEEE Transactions on Network and Service Management, 2024, PP, (99), pp. 1-1
dc.identifier.issn	1932-4537
dc.identifier.issn	1932-4537
dc.identifier.uri	http://hdl.handle.net/10453/180314
dc.description.abstract	With the development of wireless communications, the 6G network is evolving toward dynamics, complexity, and integration. The mobility of nodes and intermittently of links lead to frequent variations in the network topology. When constructing the topology model, the reliability of topology is not only affected by the physical properties of wireless links but also related to the evolution process of nodes and links states, which is indispensable for improving the accuracy of the topology model. In this paper, we propose the evolution model based on dynamic bond percolation to characterize the reliable topology evolution. Firstly, key factors that cause the network topology changes are analyzed, integrating the characteristics of the node mobility and link channel conditions. Especially signal interference, buffer of nodes, and link availability are modeled for wireless link states. Then, the interactions between adjacent links are formulated by an extended Dynamic Bond Percolation (DBP) model to obtain the topology state transition matrix, which can accurately depict the change of link connection. Based on the quantitative analysis of wireless link states, Markov chain and master equation are employed to build the Dynamic Topology Evolution (DTE) model. Meanwhile, the network topology prediction problem is transformed into a linear system solution problem to obtain the steady-state network topology based on the DTE algorithm. Finally, the results suggest that utilizing the DTE model can significantly improve the accuracy of topology prediction and overall network performance.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Transactions on Network and Service Management
dc.relation.isbasedon	10.1109/TNSM.2024.3386613
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	Networking & Telecommunications
dc.subject.classification	4006 Communications engineering
dc.subject.classification	4604 Cybersecurity and privacy
dc.subject.classification	4606 Distributed computing and systems software
dc.title	Dynamic Bond Percolation-Based Reliable Topology Evolution Model for Dynamic Networks
dc.type	Journal Article
utslib.citation.volume	PP
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	University of Technology Sydney/Strength - CCSP - Centre for Cyber Security and Privacy
utslib.copyright.status	closed_access	*
dc.date.updated	2024-08-07T05:27:11Z
pubs.issue	99
pubs.publication-status	Published
pubs.volume	PP
utslib.citation.issue	99

Abstract:

With the development of wireless communications, the 6G network is evolving toward dynamics, complexity, and integration. The mobility of nodes and intermittently of links lead to frequent variations in the network topology. When constructing the topology model, the reliability of topology is not only affected by the physical properties of wireless links but also related to the evolution process of nodes and links states, which is indispensable for improving the accuracy of the topology model. In this paper, we propose the evolution model based on dynamic bond percolation to characterize the reliable topology evolution. Firstly, key factors that cause the network topology changes are analyzed, integrating the characteristics of the node mobility and link channel conditions. Especially signal interference, buffer of nodes, and link availability are modeled for wireless link states. Then, the interactions between adjacent links are formulated by an extended Dynamic Bond Percolation (DBP) model to obtain the topology state transition matrix, which can accurately depict the change of link connection. Based on the quantitative analysis of wireless link states, Markov chain and master equation are employed to build the Dynamic Topology Evolution (DTE) model. Meanwhile, the network topology prediction problem is transformed into a linear system solution problem to obtain the steady-state network topology based on the DTE algorithm. Finally, the results suggest that utilizing the DTE model can significantly improve the accuracy of topology prediction and overall network performance.

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http://hdl.handle.net/10453/180314