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http://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/4302
Title: | Optimizing trajectory and dynamic data offloading using a UAV access platform |
Authors: | Kaur, A. Jha, S.S. Jin, J. Ghaderi, H. |
Keywords: | Trajectory planning Data collection Unmanned aerial vehicles (UAVs) Access schedule Multi-UAV system Optimization |
Issue Date: | 10-Dec-2022 |
Abstract: | The use of unmanned aerial vehicles (UAV) as an integrated sensing and communication platform is emerging for surveillance and tracking applications, especially in large infrastructure-deficient environments. In this study, we develop a multi-UAV system to collect data dynamically in a resource-constrained context. The proposed approach consists of an access platform called Access UAV (A_UAV) that stochastically coordinates the data collection from the Inspection-UAVs (I_UAVs) equipped with a visual sensor to relay the same to the cloud. Our approach jointly considers the trajectory optimization of A_UAV and the stability of the data queues at each UAV. In particular, the Distance and Access Latency Aware Trajectory (DLAT) optimization for A_UAVs is developed, which generates a fair access schedule for I_UAVs. Moreover, a Lyapunov-based online optimization ensures the system stability of the average queue backlogs for dynamic data collection while minimizing total system energy. Coordination between I_UAV and A_UAV is achieved through a message-based mechanism. The simulation results validate the performance of our proposed approach against several baselines under different parameter settings. |
URI: | http://localhost:8080/xmlui/handle/123456789/4302 |
Appears in Collections: | Year-2022 |
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