System of Systems Safety Analysis of GNSS based on Functional Dependency Network Analysis

Authors

Wangxun Zhang, College of Information System and Management, National University of Defense Technology, Changsha, 410073, ChinaFollow
Zhifei Li, College of Information System and Management, National University of Defense Technology, Changsha, 410073, ChinaFollow
Weiping Wang, College of Information System and Management, National University of Defense Technology, Changsha, 410073, ChinaFollow
Qun Li, College of Information System and Management, National University of Defense Technology, Changsha, 410073, ChinaFollow

Author Country (or Countries)

China

Abstract

The characteristics of the system of systems (SoS) present great challenges to the safety analysis of Global Navigation Satellite Systems (GNSS). Traditional safety analysis methods and techniques do not work well in a complex SoS, so new safety analysis technologies are needed to adapt to safety problems in SoS. This study first expounds upon the shortcomings of traditional safety analysis methods on GNSS safety and vulnerability study. Then some discussion and works on SoS safety is shown to introduce this new field. In addition, the Functional Dependency Network Analysis (FDNA) method is introduced and an SoS safety modeling and analysis method is proposed, together with detailed processes, which is based on FDNA. Finally, the application of this method is demonstrated through a case study. Based on the case study, it appears that FDNA has great potential and applicability to SoS safety analyses that are otherwise difficult for traditional models or methods to accommodate.

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/amis/100625

Recommended Citation

Zhang, Wangxun; Li, Zhifei; Wang, Weiping; and Li, Qun (2016) "System of Systems Safety Analysis of GNSS based on Functional Dependency Network Analysis," Applied Mathematics & Information Sciences: Vol. 10: Iss. 6, Article 25.
DOI: http://dx.doi.org/10.18576/amis/100625
Available at: https://digitalcommons.aaru.edu.jo/amis/vol10/iss6/25