Reliability analysis of the internet of things using Space Fault Network
Journal article
Shasha L., Tiejun C. and Alam, M. (2020). Reliability analysis of the internet of things using Space Fault Network. Alexandria Engineering Journal . 60 (1), pp. 1259-1270. https://doi.org/10.1016/j.aej.2020.10.049
Authors | Shasha L., Tiejun C. and Alam, M. |
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Abstract | 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. |
Year | 2020 |
Journal | Alexandria Engineering Journal |
Journal citation | 60 (1), pp. 1259-1270 |
Publisher | Elsevier |
ISSN | 1110-0168 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.aej.2020.10.049 |
Web address (URL) | https://www.sciencedirect.com/science/article/pii/S1110016820305664?via%3Dihub |
Publication dates | |
01 Feb 2021 | |
Online | 03 Nov 2020 |
Publication process dates | |
Accepted | 18 Oct 2020 |
Deposited | 01 Mar 2022 |
Publisher's version | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/8z2x0
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