Journal
IEEE WIRELESS COMMUNICATIONS LETTERS
Volume 8, Issue 6, Pages 1520-1523Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LWC.2019.2925796
Keywords
UAV-assisted data transmission; AoI; expired packets; reinforcement learning
Categories
Funding
- National Natural Science Foundation of China [61871416, 61571056]
- Beijing Science and Technology Nova Program [xx2018083]
- Fundamental Research Funds for the Central Universities [2018XKJC03]
- Beijing Municipal Natural Science Foundation [L172010]
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With explosive attention on data-sensing services, the unmanned aerial vehicle (UAV) has been applied to accelerate the information collection. Particularly, as for the deadline sensitive data, the age of information (AoI) has become a significant metric to avoid messages expiration. In this letter, we propose a UAV trajectory planning model for data collection with minimizing expired data packets in the whole sensor system, and then relax the obscure original problem into a min max-AoI-optimal path scheme due to complex constraints. We utilize a reinforcement learning-based strategy for the solution and validate its effectiveness with comparison of other two benchmarks in simulations.
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