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Backscatter Communication based Sensor Data Collection using LASER powered UAV
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AI
DOI：10.1109/ICC45041.2023.10278594.png)
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Abstract
En 中文
The utility of unmanned aerial vehicle (UAV)-based data collection for massive sensor networks has received great attention. However, limited onboard battery capacity poses a constraint on its operation. In this paper, we model data collection of backscatter nodes using UAVs that are supported by wireless energy transfer from LASER based charging stations (LCS) for sustainable operations. Under the assumption that UAV to backscatter node channel experiences Nakagami-m fading, we derive the expression for signal-to-noise ratio (SNR). We define expressions for overall backscatter energy outage probability and overall backscatter SNR outage probability as the metrics of sustainable operations. Our numerical simulations reveal that, at optimal transmit power up to around 55% of UAV operations are reliable and completely sustainable via LCS.
Keywords:
Aerial base station
backscatter communication
energy harvesting
free space optics (FSO)
radio-frequency (RF) energy transfer
stochastic geometry
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