Joint Trajectory Design and Resource Allocation for Secure Air-ground Integrated IoT Networks

• Published in: IEEE internet of things journal Vol. 10; no. 23; p. 1
• Main Authors: Zhang, Shangwei, Shi, Zhenjiang, Liu, Jiajia
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.12.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Autonomous aerial vehicles; device-to-device; Device-to-device communication; Internet of Things; Iterative algorithms; Jamming; Optimization; physical layer security; Relays; Resource allocation; Spatial distribution; Trajectories; Trajectory; trajectory design; unmanned aerial vehicle; Unmanned aerial vehicles
• ISSN: 2327-4662; 2327-4662
• DOI: 10.1109/JIOT.2023.3286470

We investigate in this paper joint trajectory design and resource allocation for secure air-ground integrated Internet of Things (IoT) networks with unmanned aerial vehicle (UAV) jamming and device to device (D2D) enhancement. By jointly optimizing ground user scheduling, UAV flight trajectory and transmit power, we are able to maximize the minimum system secrecy rate of UAV and D2D communications. The formulated optimization problems of the two typical network scenarios, i.e., with and without UAV jamming, are challenging to be solved due to the corresponding non-smooth and non-concave objective functions. Therefore, we propose alternating iterative algorithms to solve the problems by employing the successive convex approximation and block coordinate descent methods. Extensive results indicate that the proposed joint optimization schemes can effectively improve the secrecy communication performance under different spatial distributions of ground users.