QoS-dependent Event-triggered Control for UAVs on Cognitive Radio Networks Subject to Deception Attacks

• Published in: IEEE transactions on vehicular technology Vol. 72; no. 9; pp. 1 - 10
• Main Authors: Wu, Zhiying, Wang, Yan, Zhang, Aibo, Xiong, Junlin, Xie, Min
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Autonomous aerial vehicles; Cognitive radio; Cognitive radio networks; Data transmission; Deception; deception attacks; Event triggered control; Mathematical models; Networks; Parameter sensitivity; Perturbation methods; Quality of service; Quality of service architectures; Stability criteria; Switches; System performance; UAV; Unmanned aerial vehicles
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2023.3271326

Based on cognitive radio (CR) networks, this paper considers event-triggered control for unmanned aerial vehicle (UAV) systems subject to deception attacks. Two states (ON and OFF) are switched in CR networks. For the switched model, a new Quality of Service (QoS)-dependent event-triggered scheme (ETS) is proposed over CR networks under deception attacks. For a non-ideal QoS, more sensitive trigger parameters are required against deception attacks. For an ideal QoS, less sensitive trigger parameters are adjusted to reduce data transmissions. Based on the QoS-dependent ETS, a new switched system is modeled subject to deception attacks. By constructing the Lyapunov functional, the criteria are obtained to guarantee the exponential mean-square stability of UAV systems and the desired <inline-formula><tex-math notation="LaTeX">\mathcal {L}_{\infty }</tex-math></inline-formula> performance. Moreover, an algorithm is developed to adjust the parameters of QoS-dependent ETS according to the QoS of CR network. Finally, an UAV system is utilized to show the effectiveness of the proposed approach.