Optimizing the Charging Mobility of WPT-Enabled UAV to Enhance the Stability of Solar-Powered LoRaWAN IoT

Yujin Gong, Ikjune Yoon and Dong Kun Noh ()
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Yujin Gong: Department of Intelligent System, Soongsil University, Seoul 06978, Republic of Korea
Ikjune Yoon: Division of AI Computer Science & Engineering, Kyonggi University, Suwon 16227, Republic of Korea
Dong Kun Noh: School of AI Convergence, Soongsil University, Seoul 06978, Republic of Korea

Energies, 2024, vol. 17, issue 7, 1-16

Abstract: In the majority of Internet of Things (IoT) applications, persistent and stable operation is a crucial requirement. While environmental energy-harvesting technologies can enhance IoT’s persistence, they do not guarantee stability. Therefore, we aim to address the stability challenges in solar-powered IoT (SP-IoT) by employing wireless power transmission (WPT) through unmanned aerial vehicles (UAVs). This study focuses on determining the optimal charging mobility of drones for WPT to enhance the stability of nodes operating in a wide area network (WAN)-based SP-IoT environment. The proposed scheme identifies nodes with insufficient solar energy harvesting and defines the optimal charging mobility parameters (hovering position, hovering time, and moving path) to efficiently transmit the drone’s energy to these nodes in a balanced manner. The experimental results confirm that the proposed scheme significantly improves the stability of solar-powered IoT nodes by optimally utilizing the limited energy of the drone.

Keywords: IoT; solar-powered; LoRaWAN; wireless power transfer; stability; reliability (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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