Reliability analysis of the internet of things using Space Fault Network

被引:7
|
作者
Li, Shasha [1 ]
Cui, Tiejun [2 ,3 ]
Alam, Muhammad [4 ,5 ]
机构
[1] Liaoning Tech Univ, Sch Business Adm, Huludao 125000, Liaoning, Peoples R China
[2] Liaoning Tech Univ, Coll Safety Sci & Engn, Fuxin 123000, Liaoning, Peoples R China
[3] Dalian Jiaotong Univ, Tunnel & Underground Struct Engn Ctr Liaoning, Dalian 116028, Liaoning, Peoples R China
[4] London South Bank Univ, Sch Engn, London, England
[5] Inst Telecomunicacoes, Campus Univ Santiago, P-3810193 Aveiro, Portugal
关键词
System Reliability; Space Fault Network; Structure Representation; Intelligent Analysis; IoT; STRUCTURED ANALYSIS; IOT; FRAMEWORK;
D O I
10.1016/j.aej.2020.10.049
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The Internet of Things (IoT) is a network topology structure based on the interconnection of many nodes. It realizes the basic functions of IoT through the transmission of information, data, and energy between the nodes. To study the reliability of Internet of Things Network Topology (IoTNT) structure, we must abstract IoT as network topology and study the reliability of the network itself from the topology structure. This paper attempts to apply the Space Fault Network (SFN) to the study the reliability of IoTNT. To achieve this goal, the nodes and edges of IoTNT are equivalent to events and connections of SFN respectively. A structure analysis method based on SFN is proposed and used to study the reliability of IoTNT. At the same time, the influence of possible logical relationship between nodes on the reliability of IoTNT is studied. According to the SFN structure representation methods (SFNSRMs), considering different network structures and induced modes, the analysis methods and calculation methods of the evolution process of target event are given. An example is given to illustrate the analysis and calculation process. The research provides the new methods for the reliability study of IoT and the development of SFN. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University.
引用
收藏
页码:1259 / 1270
页数:12
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