Fault-Tolerance by Resilient State Transition for Collaborative Cyber-Physical Systems

Collaborative Cyber-Physical Systems (CCPS) are systems where several individual cyber-physical systems collaborate to perform a single task. The safety of a single Cyber-Physical System (CPS) can be achieved by applying a safety mechanism and following standard processes defined in ISO 26262 and IE...

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Autores principales: Nazakat Ali, Manzoor Hussain, Jang-Eui Hong
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/936101d826734b0fa7b0220b02953847
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spelling oai:doaj.org-article:936101d826734b0fa7b0220b029538472021-11-25T18:16:38ZFault-Tolerance by Resilient State Transition for Collaborative Cyber-Physical Systems10.3390/math92228512227-7390https://doaj.org/article/936101d826734b0fa7b0220b029538472021-11-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/22/2851https://doaj.org/toc/2227-7390Collaborative Cyber-Physical Systems (CCPS) are systems where several individual cyber-physical systems collaborate to perform a single task. The safety of a single Cyber-Physical System (CPS) can be achieved by applying a safety mechanism and following standard processes defined in ISO 26262 and IEC 61508. However, due to heterogeneity, complexity, variability, independence, self-adaptation, and dynamic nature, functional operations for CCPS can threaten system safety. In contrast to fail-safe systems, where, for instance, the system leads to a safe state when an actuator shuts down due to a fault, the system has to be fail-operational in autonomous driving cases, i.e., a shutdown of a platooning member vehicle during operation on the road is unacceptable. Instead, the vehicle should continue its operation with degraded performance until a safe state is reached or returned to its original state in case of temporal faults. Thus, this paper proposes an approach that considers the resilient behavior of collaborative systems to achieve the fail-operational goal in autonomous platooning systems. First, we extended the state transition diagram and introduced additional elements such as failures, mitigation strategies, and safe exit to achieve resilience in autonomous platooning systems. The extended state transition diagram is called the Resilient State Transition Diagram (R-STD). Second, an autonomous platooning system’s perception, communication, and ego-motion failures are modeled using the proposed R-STD to check its effectiveness. Third, VENTOS simulator is used to verify the resulting resilient transitions of R-STD in a simulation environment. Results show that a resilient state transition approach achieves the fail-operational goal in the autonomous platooning system.Nazakat AliManzoor HussainJang-Eui HongMDPI AGarticlecyber-physical systemsplatoon drivingresilient systemMathematicsQA1-939ENMathematics, Vol 9, Iss 2851, p 2851 (2021)
institution DOAJ
collection DOAJ
language EN
topic cyber-physical systems
platoon driving
resilient system
Mathematics
QA1-939
spellingShingle cyber-physical systems
platoon driving
resilient system
Mathematics
QA1-939
Nazakat Ali
Manzoor Hussain
Jang-Eui Hong
Fault-Tolerance by Resilient State Transition for Collaborative Cyber-Physical Systems
description Collaborative Cyber-Physical Systems (CCPS) are systems where several individual cyber-physical systems collaborate to perform a single task. The safety of a single Cyber-Physical System (CPS) can be achieved by applying a safety mechanism and following standard processes defined in ISO 26262 and IEC 61508. However, due to heterogeneity, complexity, variability, independence, self-adaptation, and dynamic nature, functional operations for CCPS can threaten system safety. In contrast to fail-safe systems, where, for instance, the system leads to a safe state when an actuator shuts down due to a fault, the system has to be fail-operational in autonomous driving cases, i.e., a shutdown of a platooning member vehicle during operation on the road is unacceptable. Instead, the vehicle should continue its operation with degraded performance until a safe state is reached or returned to its original state in case of temporal faults. Thus, this paper proposes an approach that considers the resilient behavior of collaborative systems to achieve the fail-operational goal in autonomous platooning systems. First, we extended the state transition diagram and introduced additional elements such as failures, mitigation strategies, and safe exit to achieve resilience in autonomous platooning systems. The extended state transition diagram is called the Resilient State Transition Diagram (R-STD). Second, an autonomous platooning system’s perception, communication, and ego-motion failures are modeled using the proposed R-STD to check its effectiveness. Third, VENTOS simulator is used to verify the resulting resilient transitions of R-STD in a simulation environment. Results show that a resilient state transition approach achieves the fail-operational goal in the autonomous platooning system.
format article
author Nazakat Ali
Manzoor Hussain
Jang-Eui Hong
author_facet Nazakat Ali
Manzoor Hussain
Jang-Eui Hong
author_sort Nazakat Ali
title Fault-Tolerance by Resilient State Transition for Collaborative Cyber-Physical Systems
title_short Fault-Tolerance by Resilient State Transition for Collaborative Cyber-Physical Systems
title_full Fault-Tolerance by Resilient State Transition for Collaborative Cyber-Physical Systems
title_fullStr Fault-Tolerance by Resilient State Transition for Collaborative Cyber-Physical Systems
title_full_unstemmed Fault-Tolerance by Resilient State Transition for Collaborative Cyber-Physical Systems
title_sort fault-tolerance by resilient state transition for collaborative cyber-physical systems
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/936101d826734b0fa7b0220b02953847
work_keys_str_mv AT nazakatali faulttolerancebyresilientstatetransitionforcollaborativecyberphysicalsystems
AT manzoorhussain faulttolerancebyresilientstatetransitionforcollaborativecyberphysicalsystems
AT jangeuihong faulttolerancebyresilientstatetransitionforcollaborativecyberphysicalsystems
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