University of Oulu

Tiurlikova, A., Stepanov, N., & Mikhaylov, K. (2019). Wireless power transfer from unmanned aerial vehicle to low-power wide area network nodes: Performance and business prospects for LoRaWAN. International Journal of Distributed Sensor Networks. https://doi.org/10.1177/1550147719888165

Wireless power transfer from unmanned aerial vehicle to low-power wide area network nodes : performance and business prospects for LoRaWAN

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Author: Tiurlikova, Aleksandra1; Stepanov, Nikita2; Mikhaylov, Konstantin3,4
Organizations: 1National Research University Higher School of Economics, Moscow, Russian Federation
2Saint Petersburg State University of Aerospace Instrumentation, St Petersburg, Russian Federation
3University of Oulu, Oulu, Finland
4Brno University of Technology, Brno, Czech Republic
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202001101698
Language: English
Published: SAGE Publications, 2019
Publish Date: 2020-01-10
Description:

Abstract

Supported by the remarkable progress across many technological domains, the Internet of Things (IoT) ecosystem demonstrates steady growth over the few past years. This growth enables a number of new exciting applications. Nonetheless, hardly one can say today that the utility of the IoT is used to its full potential. This fact is especially notable for the monitoring applications deployed in remote areas. To address the needs of these use cases, in the article we propose a solution based on the combination of three key technologies: the low-power wide area networks, the unmanned aerial vehicles, and the wireless power transfer. In the article, we first detail the novel concept of a wireless power transfer-enabled unmanned aerial vehicle employed to charge the LoRaWAN sensor nodes. Then, via extensive simulations and analysis of an illustrative LoRaWAN application, we investigate both technical and, notably, business performance indicators, and compare them against the ones for a baseline scenario with no unmanned aerial vehicle. Our results illustratively demonstrate that in the long-term perspective, the inclusion of a wireless power transfer-enabled drone may drastically reduce the system’s operating expenses. At the very same time, our results highlight the limits, bottlenecks, and trade-offs related to the proposed concept, thus providing the basis and calling for further investigation.

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Series: International journal of distributed sensor networks
ISSN: 1550-1329
ISSN-E: 1550-1477
ISSN-L: 1550-1329
Volume: 15
Issue: 11
Pages: 1 - 14
DOI: 10.1177/1550147719888165
OADOI: https://oadoi.org/10.1177/1550147719888165
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The work is carried out within the framework of the scientific initiative project No. 8.8540.2017/8.9 ‘‘Development of data transfer algorithms in IoT systems, taking into account restrictions on the complexity of devices.’’ This work is also supported by the Academy of Finland 6Genesis Flagship under Grant no. 318927. The work of K.M. was also supported by the mobility project MeMoV, No. CZ.02.2.69/0.0/0.0/16_027/00083710, of Czech Ministry of Education, Youth and Sport, funded by European Social Fund and LPWAN-evolution activity funded by the University of Oulu.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © The Author(s) 2019. Creative Commons CC BY: This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
  https://creativecommons.org/licenses/by/4.0/