Analysis on cascading reliability of edge-assisted Internet of Things

被引:31
作者
Fu, Xiuwen [1 ,2 ]
Wang, Ye [1 ]
Yang, Yongsheng [1 ]
Postolache, Octavian [3 ]
机构
[1] Shanghai Maritime Univ, Inst Logist Sci & Engn, Shanghai 201306, Peoples R China
[2] Wuhan Univ Technol, Sch Logist Engn, Wuhan 430070, Peoples R China
[3] ISCTE Lisbon Univ Inst, Lisbon, Portugal
关键词
Cascading failure; Edge-assisted Internet of Things; Congestion sensitivity; Data convergence; Cascading reliability; WIRELESS SENSOR NETWORKS; DATA-COMPRESSION; FAILURE; ROBUSTNESS; PROPAGATION; TOPOLOGY; MODEL; NODE; INVULNERABILITY; DYNAMICS;
D O I
10.1016/j.ress.2022.108463
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Cascading failure is one of the key issues affecting the reliability of edge-assisted Internet of Things (IoTs), but is rarely studied. In this paper, a cascading model is developed with full consideration of the realistic characteristics of edge-assisted IoTs (.., congestion sensitivity and data convergence). In this model, the load of edge-computing nodes is represented by the real-time number of data packets, and is affected by the congestion state of links and the data-compressing ability of nodes. The experimental results have shown that being isolated is the main cause of performance degradation in edge-assisted IoTs during cascading failure; cascading reliability is positively correlated with link density and cluster head ratio; increasing the overload tolerance coefficient and variable compression ratio can improve the cascading reliability of the network; decreasing the congestion-tolerance coefficient can reduce the damage of the cascading failure to the network; cascading failure triggered by high-directional betweenness attacks is the most damaging.
引用
收藏
页数:16
相关论文
共 49 条
[11]  
Dui H, 2021, RELIAB ENG SYST SAF
[12]   Failure-oriented maintenance analysis of nodes and edges in network systems [J].
Dui, Hongyan ;
Chen, Shuanshuan ;
Wang, Jia .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2021, 215
[13]   Resilience analysis of maritime transportation systems based on importance measures [J].
Dui, Hongyan ;
Zheng, Xiaoqian ;
Wu, Shaomin .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2021, 209
[14]   A meritocratic trust-based group formation in an IoT environment for smart cities [J].
Fortino, G. ;
Fotia, L. ;
Messina, F. ;
Rosaci, D. ;
Sarne, G. M. L. .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 108 :34-45
[15]   Internet of Things as System of Systems: A Review of Methodologies, Frameworks, Platforms, and Tools [J].
Fortino, Giancarlo ;
Savaglio, Claudio ;
Spezzano, Giandomenico ;
Zhou, MengChu .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (01) :223-236
[16]   Toward robust and energy-efficient clustering wireless sensor networks: A double-stage scale-free topology evolution model [J].
Fu, Xiuwen ;
Pace, Pasquale ;
Aloi, Gianluca ;
Li, Wenfeng ;
Fortino, Giancarlo .
COMPUTER NETWORKS, 2021, 200
[17]   Exploring the impact of node mobility on cascading failures in spatial networks [J].
Fu, Xiuwen ;
Li, Wenfeng ;
Yang, Yongsheng .
INFORMATION SCIENCES, 2021, 576 :140-156
[18]   Analysis on invulnerability of wireless sensor networks based on cellular automata [J].
Fu, Xiuwen ;
Yang, Yongsheng .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2021, 212
[19]   Modeling and analyzing cascading failures for Internet of Things [J].
Fu, Xiuwen ;
Yang, Yongsheng .
INFORMATION SCIENCES, 2021, 545 :753-770
[20]   Modeling and analysis of cascading node-link failures in multi-sink wireless sensor networks [J].
Fu, Xiuwen ;
Yang, Yongsheng .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2020, 197