A Quantum-Inspired Sensor Consolidation Measurement Approach for Cyber-Physical Systems

Mekala, MS; Srivastava, G; Gandomi, AH; Park, JH; Jung, HY

A Quantum-Inspired Sensor Consolidation Measurement Approach for Cyber-Physical Systems

Mekala, MS Srivastava, G Gandomi, AH Park, JH Jung, HY

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Publisher:: IEEE COMPUTER SOC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Network Science and Engineering, 2024, 11, (1), pp. 511-524
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Mekala, MS
dc.contributor.author	Srivastava, G
dc.contributor.author	Gandomi, AH
dc.contributor.author	Park, JH
dc.contributor.author	Jung, HY
dc.date.accessioned	2024-08-21T05:26:00Z
dc.date.available	2024-08-21T05:26:00Z
dc.date.issued	2024-01-01
dc.identifier.citation	IEEE Transactions on Network Science and Engineering, 2024, 11, (1), pp. 511-524
dc.identifier.issn	2327-4697
dc.identifier.issn	2327-4697
dc.identifier.uri	http://hdl.handle.net/10453/180472
dc.description.abstract	Cyber-Physical System (CPS) devices interconnect to grab data over a common platform from industrial applications. Maintaining immense data and making instant decision analysis by selecting a feasible node to meet latency constraints is challenging. To address this issue, we design a quantum-inspired online node consolidation (QONC) algorithm based on a time-sensitive measurement reinforcement system for making decisions to evaluate a feasible node, ensuring reliable service and deploying the node at the appropriate position for accurate data computation and communication. We design an Angular-based node position analysis method to localize the node through rotation and t-gate usage to mitigate latency and enhance system performance. We formalize the estimation and selection of the feasible node based on quantum formalization node parameters (node contiguity, node optimal knack rate, node heterogeneity, probability of fusion variance error ratio). We design a fitness function to assess the probability of node fitness before selection. The simulation results show that our approach achieves an effective measurement rate of performance index by reducing the average error ratio from 0.17-0.22, increasing the average coverage ratio from 29% to 42%, and the qualitative execution frequency of services. Moreover, the proposed model achieves a 74.3% offloading reduction accuracy and a 70.2% service reliability rate compared to state-of-the-art approaches. Our system is scalable and efficient under numerous simulation frameworks.
dc.language	English
dc.publisher	IEEE COMPUTER SOC
dc.relation.ispartof	IEEE Transactions on Network Science and Engineering
dc.relation.isbasedon	10.1109/TNSE.2023.3301402
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A Quantum-Inspired Sensor Consolidation Measurement Approach for Cyber-Physical Systems
dc.type	Journal Article
utslib.citation.volume	11
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/All Manual Groups
pubs.organisational-group	University of Technology Sydney/All Manual Groups/Data Science Institute (DSI)
pubs.organisational-group	University of Technology Sydney/Strength - DSI - Data Science Institute
utslib.copyright.status	closed_access	*
dc.date.updated	2024-08-21T05:25:57Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	11
utslib.citation.issue	1

Abstract:

Cyber-Physical System (CPS) devices interconnect to grab data over a common platform from industrial applications. Maintaining immense data and making instant decision analysis by selecting a feasible node to meet latency constraints is challenging. To address this issue, we design a quantum-inspired online node consolidation (QONC) algorithm based on a time-sensitive measurement reinforcement system for making decisions to evaluate a feasible node, ensuring reliable service and deploying the node at the appropriate position for accurate data computation and communication. We design an Angular-based node position analysis method to localize the node through rotation and t-gate usage to mitigate latency and enhance system performance. We formalize the estimation and selection of the feasible node based on quantum formalization node parameters (node contiguity, node optimal knack rate, node heterogeneity, probability of fusion variance error ratio). We design a fitness function to assess the probability of node fitness before selection. The simulation results show that our approach achieves an effective measurement rate of performance index by reducing the average error ratio from 0.17-0.22, increasing the average coverage ratio from 29% to 42%, and the qualitative execution frequency of services. Moreover, the proposed model achieves a 74.3% offloading reduction accuracy and a 70.2% service reliability rate compared to state-of-the-art approaches. Our system is scalable and efficient under numerous simulation frameworks.

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http://hdl.handle.net/10453/180472