Optimization of safety energy efficiency of alternating relay communication systems for UAVs

The UAV alternate relay communication system shows significant advantages in the field of information transmission, as it efficiently transmits information from the sending end to the receiving end through the cooperative work of two UAVs, effectively improving the band utilization. However, this system also faces two major challenges: first, due to the limited energy on-board the UAVs, how to effectively improve the energy efficiency has become a key issue; second, there may be malicious eavesdroppers during the information transmission process, making the information security issue not to be ignored. In order to address the above issues, this paper explores a model for an alternate relay communication system for UAVs in the presence of eavesdroppers. Our aim is to improve the energy efficiency of the system by means of optimization while ensuring information security. To this end, this paper studies the joint optimization problem of the transmit power and the UAV trajectory, aiming to maximize the safety energy efficiency of the system. To solve this complex optimization problem, we first formalize it as a nonconvex mixed integer nonlinear fractional programming (MINLFP) problem. Since it is extremely challenging to solve such a problem directly, we further decompose it into more tractable optimization subproblems and propose a set of efficient iterative methods for solving it. Simulation experimental outcomes indicate that as compared to the baseline scheme, our proposed algorithm not only excels in convergence, but also significantly enhances the safety energy efficiency. In summary, the research in this paper not only proposes an effective solution to the energy efficiency and information security problems in the UAV alternate relay communication as well as improves the overall performance of the system through algorithm optimization, which provides valuable references for research in related fields.