Abstract
Using UAV to Simultaneous Wireless Information and Power Transfer (SWIPT) can effectively solve sensor energy problems in Wireless Rechargeable Sensor Networks (WRSN). Among current charging techniques, radio frequency (RF) remote charging with a small transmit antenna is gaining interest when non-contact type charging is required for sensor nodes. In this article, we study how to obtain higher charging efficiency by RF charging on the basis of ensuring data collection efficiency. Considering the actual environmental parameters, by establishing the mathematical relationship between data transmission power and power transfer power, we realized the creation of UAV-WRSN SWIPT model. We propose the path planning strategy based on joint priority of node residual energy and position, and design the node optimal power transfer strategy based on data collection maximization. The simulation results show that the proposed path planning algorithm can improve the efficiency of the UAV for SWIPT on the premise of ensuring that the nodes do not die. On the other hand, using the charging strategy based on data collection maximization proposed by us, the residual energy of the node charging is significantly higher than that non-charging, and the working life of the sensor is prolonged.
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Acknowledgments
The work is supported by the Research Project of China Railway Eryuan Engineering Group CO. LTD (No. KYY2019033(19-20)) and the Support Project of Science and Technology Department of Sichuan Province, China (No. 2019YFG0205).
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Li, Z., Feng, J., Li, J., Gou, X. (2020). An Information and Power Simultaneous Transfer Strategy in UAV and Wireless Rechargeable Sensor Networks. In: Chen, X., Yan, H., Yan, Q., Zhang, X. (eds) Machine Learning for Cyber Security. ML4CS 2020. Lecture Notes in Computer Science(), vol 12487. Springer, Cham. https://doi.org/10.1007/978-3-030-62460-6_7
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DOI: https://doi.org/10.1007/978-3-030-62460-6_7
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