Path Optimization of Drones for RF Wireless Power Transmission in Solar-Powered LoRaWAN IoT 


Vol. 46,  No. 12, pp. 2221-2228, Dec.  2021
10.7840/kics.2021.46.12.2221


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  Abstract

Battery-based Internet of things (IoT) nodes have a limited life due to limited amount of energy. This problem cannot be solved fundamentally even if a low-power communication protocol such as LoRaWAN is used. To solve this problem, environmental energy-harvesting IoT nodes are being researched recently. In particular, solar energy is expected to solve the limited energy problem of IoT nodes and impart permanence owing to such characteristics of periodicity, high predictability, and high energy density. However, there is also a possibility that the amount of harvested energy will not be enough for the normal operation even for solar-powered IoT nodes due to various environmental factors. In most IoT applications, the stable collection of data is also a critical requirement as well as the permanency of nodes. Hence, we try to improve the stability problem of solar-powered IoT through RF wireless power transmission using drones. This study proposes an optimal charging path setting technique of drone for RF wireless power transmission to stably operate nodes in a solar-powered LoRaWAN IoT environment. The proposed scheme can select nodes that have insufficient solar energy harvesting and determine the optimal path (hovering position, hovering time, and moving path) that can transmit the drone’s energy to these nodes in most balanced and efficient ways.

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  Cite this article

[IEEE Style]

Y. Gong, M. Kang, Y. Kim, I. Yoon, D. K. Noh, "Path Optimization of Drones for RF Wireless Power Transmission in Solar-Powered LoRaWAN IoT," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 12, pp. 2221-2228, 2021. DOI: 10.7840/kics.2021.46.12.2221.

[ACM Style]

Yujin Gong, Minjae Kang, Younghyun Kim, Ikjune Yoon, and Dong Kun Noh. 2021. Path Optimization of Drones for RF Wireless Power Transmission in Solar-Powered LoRaWAN IoT. The Journal of Korean Institute of Communications and Information Sciences, 46, 12, (2021), 2221-2228. DOI: 10.7840/kics.2021.46.12.2221.

[KICS Style]

Yujin Gong, Minjae Kang, Younghyun Kim, Ikjune Yoon, Dong Kun Noh, "Path Optimization of Drones for RF Wireless Power Transmission in Solar-Powered LoRaWAN IoT," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 12, pp. 2221-2228, 12. 2021. (https://doi.org/10.7840/kics.2021.46.12.2221)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880