TY - GEN
T1 - A Reliable Modeling Approach for C4ISR Systems Based on GO-Markov Hybrid Models
AU - Fan, Wenxiao
AU - Liu, Shulin
AU - Dai, Chao
AU - Yi, Xiaojian
N1 - Publisher Copyright:
© Beijing HIWING Scientific and Technological Information Institute 2026.
PY - 2026
Y1 - 2026
N2 - Command, Control, Communication, Computers, Intelligence, Surveillance, and Reconnaissance(C4ISR) systems serve as the nucleus of modern combat operations, yet their hybrid hardware-software architecture engenders complex fault propagation dynamics. Existing research has overlooked the influence of cross-board faults, thereby impeding robust reliability analysis. To address this, this paper proposes a reliability modeling framework integrating the Goal-Oriented (GO) methodology and Markov process, leveraging the synergistic advantages of both approaches to analyze intricate fault propagation patterns. Through comparative verification, the Markov process-based correction method is shown to capture the impact of cross-board level fault propagation, enhancing the accuracy of system operational probability assessment. The proposed approach enables precise reliability evaluation of C4ISR systems, providing critical support for optimizing design configurations and reliability assurance strategies.
AB - Command, Control, Communication, Computers, Intelligence, Surveillance, and Reconnaissance(C4ISR) systems serve as the nucleus of modern combat operations, yet their hybrid hardware-software architecture engenders complex fault propagation dynamics. Existing research has overlooked the influence of cross-board faults, thereby impeding robust reliability analysis. To address this, this paper proposes a reliability modeling framework integrating the Goal-Oriented (GO) methodology and Markov process, leveraging the synergistic advantages of both approaches to analyze intricate fault propagation patterns. Through comparative verification, the Markov process-based correction method is shown to capture the impact of cross-board level fault propagation, enhancing the accuracy of system operational probability assessment. The proposed approach enables precise reliability evaluation of C4ISR systems, providing critical support for optimizing design configurations and reliability assurance strategies.
KW - C4ISR system
KW - GO methodology
KW - Markov process
KW - cross-board level propagation
KW - reliability modeling
UR - https://www.scopus.com/pages/publications/105039202384
U2 - 10.1007/978-981-95-7656-2_20
DO - 10.1007/978-981-95-7656-2_20
M3 - Conference contribution
AN - SCOPUS:105039202384
SN - 9789819576555
T3 - Lecture Notes in Electrical Engineering
SP - 206
EP - 216
BT - Proceedings of 5th 2025 International Conference on Autonomous Unmanned Systems, ICAUS - Volume 5
A2 - Xie, Shaorong
A2 - Niu, Yifeng
A2 - Fu, Wenxing
A2 - Qu, Yi
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th International Conference on Autonomous Unmanned Systems, ICAUS 2025
Y2 - 17 October 2025 through 19 October 2025
ER -