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Event-triggered fixed-time resilient control for mobile sensor networks with a Sybil attack and input delay

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study is devoted to the resilient control problem of a mobile sensor network with a Sybil attack and input delay. First, a fixed-time observer is constructed to estimate the state exactly, which makes it possible to calculate the settling time. Then, the delayed system is transformed into a delay-free system by introducing Artstein’s transformation, and a confidence metric is used to tackle the Sybil attack problem, which requires no additional data storage beyond signals. Furthermore, a novel distributed event-triggered fixed-time control scheme is proposed, and a triggering function is developed to generate triggering events asynchronously. Using the presented triggering function, each sensor communicates in discrete time, which is fully continuous-communication free. Several sufficient conditions are obtained, and a rigorous proof is given using Lyapunov stability and fixed-time stability theories. Finally, simulation results are presented to demonstrate the efficiency of the theoretical results such as the flocking context.
Rocznik
Strony
129--142
Opis fizyczny
Bibliogr. 41 poz., rys., wykr.
Twórcy
autor
  • Endogenous Security Research Center, Purple Mountain Laboratories, 9 Mozhou Road, Nanjing, 211111, China
  • School of Aeronautics, Northwestern Polytechnical University, 127 Youyi Road, Xi’an, 710072, China
autor
  • Endogenous Security Research Center, Purple Mountain Laboratories, 9 Mozhou Road, Nanjing, 211111, China
autor
  • Endogenous Security Research Center, Purple Mountain Laboratories, 9 Mozhou Road, Nanjing, 211111, China
autor
  • School of Aeronautics, Northwestern Polytechnical University, 127 Youyi Road, Xi’an, 710072, China
autor
  • Endogenous Security Research Center, Purple Mountain Laboratories, 9 Mozhou Road, Nanjing, 211111, China
Bibliografia
  • [1] Arshad, Hanapi, Z.M., Subramaniam, S. and Latip, R. (2021). A survey of Sybil attack countermeasures in IoT-based wireless sensor networks, PeerJ Computer Science 7: e673.
  • [2] Bhat, S.P. and Bernstein, D.S. (2005). Geometric homogeneity with applications to finite-time stability, Mathematics of Control, Signals and Systems 17(2): 101-127.
  • [3] Chen, Z., Han, Q.L., Yan, Y. and Wu, Z.G. (2020). How often should one update control and estimation: Review of networked triggering techniques, Science China Information Sciences 63, Article no. 150201.
  • [4] Filippov, A.F. (2013). Differential Equations with Discontinuous Right Hand Sides: Control Systems, Springer, Dordrecht.
  • [5] Fu, M. and Yu, L. (2018). Finite-time extended state observer-based distributed formation control for marine surface vehicles with input saturation and disturbances, Ocean Engineering 159: 219-227.
  • [6] Gil, S., Baykal, C. and Rus, D. (2019). Resilient multi-agent consensus using Wi-Fi signals, IEEE Control Systems Letters 3(1): 126-131.
  • [7] Gil, S., Kumar, S., Katabi, D. and Rus, D. (2015). Adaptive communication in multi-robot systems using directionality of signal strength, International Journal of Robotics Research 34(7): 946-968.
  • [8] Gil, S., Kumar, S., Mazumder, M., Katabi, D. and Rus, D. (2017). Guaranteeing spoof-resilient multi-robot networks, Autonomous Robots 41: 1383-1400.
  • [9] Gong, S., Zheng, M., Hu, J. and Zhang, A. (2023). Event-triggered cooperative control for high-order nonlinear multi-agent systems with finite-time consensus, International Journal of Applied Mathematics and Computer Science 33(3): 439-448, DOI: 10.34768/amcs-2023-0032.
  • [10] Guo, Z. and Chen, G. (2020). Event-triggered fixed-time cooperative tracking control for uncertain nonlinear second-order multi-agent systems under directed network topology, Journal of the Franklin Institute 357(6): 3345-3364.
  • [11] Hong, Y., Xu, Y. and Huang, J. (2002). Finite-time control for robot manipulators, Systems & Control Letters 46(4): 243-253.
  • [12] Hua, C., Sun, X., You, X. and Guan, X. (2017). Finite-time consensus control for second-order multi-agent systems without velocity measurements, International Journal of Systems Science 48(2): 337-346.
  • [13] Huang, Y. and Jia, Y. (2018). Fixed-time consensus tracking control of second-order multi-agent systems with inherent nonlinear dynamics via output feedback, Nonlinear Dynamics 91(2): 1289-1306.
  • [14] Jenabzadeh, A., Safarinejadian, B., Ahmed, Z. and Zhang, W. (2024). Distributed estimation and control over mobile sensor networks with jointly connected topology: Event-triggered approach, ISA Transactions 145: 132-147.
  • [15] Kandris, D., Nakas, C., Vomvas, D. and Koulouras, G. (2020). Applications of wireless sensor networks: An up-to-date survey, Applied System Innovation 3(1): 1-24.
  • [16] Li, Q., Wang, Z., Hu, J. and Sheng, W. (2021). Distributed state and fault estimation over sensor networks with probabilistic quantizations: The dynamic event-triggered case, Automatica 131: 109784.
  • [17] Liang, Z., Lyu, C., Shen, M., Zhao, J., Li, Z. and Ding, Z. (2024). Distributed fixed-time control for leader-steered rigid shape formation with prescribed performance, IEEE Transactions on Cybernetics 54(10): 5708-5720.
  • [18] Liu, J., Xu, Z., Xue, L., Wu, Y. and Sun, C. (2024). Practical fixed-time synchronization of multilayer networks via intermittent event-triggered control, IEEE Transactions on Systems, Man, and Cybernetics: Systems 54(5): 2626-2637.
  • [19] Liu, Y.-C., Lin, T.-C. and Lin, M.-T. (2022). Indirect/direct learning coverage control for wireless sensor and mobile robot networks, IEEE Transactions on Control Systems Technology 30(1): 202-217.
  • [20] Liu, Z., Liu, J., Zhang, O., Zhao, Y., Chen, W. and Gao, Y. (2024). Adaptive disturbance observer-based fixed-time tracking control for uncertain robotic systems, IEEE Transactions on Industrial Electronics 71(11) : 14823-14831.
  • [21] Moulay, E., Dambrine, M., Yeganefar, N. and Perruquetti, W. (2008). Finite-time stability and stabilization of time-delay systems, Systems & Control Letters 57(7): 561-566.
  • [22] Murali, S. and Jamalipour, A. (2020). A lightweight intrusion detection for Sybil attack under mobile RPL in the Internet of things, IEEE Internet of Things Journal 7(1): 379-388.
  • [23] Ni, J., Liu, L., Liu, C. and Liu, J. (2017). Fixed-time leader-following consensus for second-order multiagent systems with input delay, IEEE Transactions on Industrial Electronics 64(11): 8635-8646.
  • [24] Polyakov, A. (2011). Nonlinear feedback design for fixed-time stabilization of linear control systems, IEEE Transactions on Automatic Control 57(8): 2106-2110.
  • [25] Satish Patil, S. and Senthil Kumaran, T. (2024). Fuzzy based rendezvous points selection for mobile data gathering in wireless sensor network, Computational Intelligence 40(1): e12486.
  • [26] Sheng, B. and Li, Q. (2008). Verifiable privacy-preserving range query in two-tiered sensor networks, IEEE INFOCOM 2008: 27th Conference on Computer Communications, Phoenix, USA, pp. 46-50.
  • [27] Temene, N., Sergiou, C., Georgiou, C. and Vassiliou, V. (2022). A survey on mobility in wireless sensor networks, Ad Hoc Networks 125: 102726.
  • [28] Tian, B., Zuo, Z., Yan, X. and Wang, H. (2017). A fixed-time output feedback control scheme for double integrator systems, Automatica 80: 17-24.
  • [29] Vasudeva, A. and Sood, M. (2018). Survey on Sybil attack defense mechanisms in wireless ad hoc networks, Journal of Network and Computer Applications 120: 78-118.
  • [30] Wang, P., Song, C. and Liu, L. (2024). Coverage control for mobile sensor networks with multiplicative measurement errors and limited interaction ranges, IEEE Transactions on Control of Network Systems 11(3): 1610-1620.
  • [31] Yaacoub, J., Noura, H., Salman, O. and Chehab, A. (2022). Robotics cyber security: Vulnerabilities, attacks, countermeasures, and recommendations, International Journal of Information Security 21(2): 115-158.
  • [32] Yang, F., Shi, L. and Zheng, L. (2021). Event-triggered globally sequential fusion estimation for clustered wireless sensor networks with variational Bayesian, IEEE Sensors Journal 21(18): 20273-20282.
  • [33] Yang, P., Zhang, A., Bi, W. and Li, M. (2023). Cooperative group formation control for multiple quadrotors system with finite-and fixed-time convergence, ISA Transactions 138: 186-196.
  • [34] Zhang, A., Zhou, D., Yang, M. and Yang, P. (2019). Finite-time formation control for unmanned aerial vehicle swarm system with time-delay and input saturation, IEEE Access 7: 5853-5864.
  • [35] Zhang, D. and Duan, G. (2018). Leader-following fixed-time output feedback consensus for second-order multi-agent systems with input saturation, International Journal of Systems Science 49(14): 2873-2887.
  • [36] Zhang, D., Hu, J., Cheng, J., Wu, Z.-G. and Yan, H. (2024). A novel disturbance observer based fixed-time sliding mode control for robotic manipulators with global fast convergence, IEEE/CAA Journal of Automatica Sinica 11(3): 661-672.
  • [37] Zhang, Z., Li, Q., Yv, J. and Ren, Z. (2024). Finite-time robust cooperative distributed estimate with sensor network, IEEE Sensors Journal 24(9): 14737-14749.
  • [38] Zhao, Y., Duan, Z., Wen, G. and Chen, G. (2016). Distributed finite-time tracking of multiple non-identical second-order nonlinear systems with settling time estimation, Automatica 64: 86-93.
  • [39] Zhou, D., Zhang, A. and Yang, P. (2020a). Fixed-time event-triggered consensus of second-order multi-agent systems with fully continuous communication free, IET Control Theory & Applications 14(16): 2385-2394.
  • [40] Zhou, D., Zhang, A. and Yang, P. (2020b). Fixed-time output feedback consensus of second-order multi-agent systems with settling time estimation, International Journal of Control, Automation and Systems 18(8): 2061-2074.
  • [41] Znidi, A. and Nouri, A.S. (2024). Decentralized sliding mode control using an event-triggered mechanism for discrete interconnected Hammerstein systems, International Journal of Applied Mathematics and Computer Science 34(3): 349-360, DOI: 10.61822/amcs-2024-0025.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e161873d-3750-4e16-a846-12afe65e0cc6
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