In recent years, the use of Unmanned Aerial Vehicles (UAVs) has increased rapidly, especially in communication systems like 5G and upcoming 6G networks. However, managing multiple UAVs efficiently is a challenging task due to issues like high power consumption, limited bandwidth, and inefficient routing. This paper focuses on improving the performance of multi-UAV communication systems by optimizing bandwidth usage and reducing energy consumption. To solve these problems, the proposed system uses a combination of techniques such as Sequential Quadratic Programming (SQP), M-Matrix theory, and Nearest Neighbor Routing (NNR). These methods help in selecting optimal communication paths and allocating resources effectively among UAVs. The system is implemented using MATLAB to simulate real-world scenarios and evaluate performance. The results show that the proposed approach improves data transmission efficiency, reduces power usage, and enhances overall network performance compared to existing methods. This work can be useful for applications like disaster management, surveillance, and future wireless communication systems.
Swathi et al. (Thu,) studied this question.