Project Details


The global adoption of UAV networking technologies and applications in academic, military, and commercial areas, clearly, renders the significant value of UAV research. When the 3GPP standard bodies begin to advocate Non-Terrestrial Networking (NTN), the non-traditional network architectures based on UAV and satellite communications poise for the forthcoming emergence of three-dimensional space communications. Towards the prospect of UAV-assisted data gathering on the ground, this project aims to examine the practical usages and problems which arise from UAV’s energy consumption, buffer occupancy, path planning and multi-UAV deployment in flying ad hoc networks (FANET). Then, our study intends to define two types of UAVs, including mission-oriented UAV and ferry-oriented UAV. By teamwork cooperation, mission-oriented UAVs are dedicated to operate data gathering tasks, and ferry-oriented UAVs provide air supply of battery charging and data offloading services. Hence, ferry-oriented UAVs can help mission-oriented UAVs prevent from task interruption and failure due to UAV’s energy and storage exhaustions against long movement trajectory and huge data collection. To this purpose, our study will first conduct a comprehensive analysis on UAV’s mission allocation, energy cost and buffer utilization. Then, our study will develop an optimization mechanism for minimizing task execution time and maximizing UAV-assisted system performance during UAV teamwork in FANETs. Accordingly, this project proposal includes two sub-topics, as follows: (I) Optimizing task execution time with both energy cost and buffer utilization; (II) Optimizing task execution time with UAV placement and timeliness constraints of gathered data. Therefore, our project efforts will exhibit the functionalities and practical results of optimizing task execution time for UAV teamwork in FANETs.
Effective start/end date1/08/2231/07/23


  • Optimizing Task Execution Time for UAV Teamwork in FANETs


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