University of Oulu

D. Carrillo, K. Mikhaylov, P. J. Nardelli, S. Andreev and D. B. da Costa, "Understanding UAV-Based WPCN-Aided Capabilities for Offshore Monitoring Applications," in IEEE Wireless Communications, vol. 28, no. 2, pp. 114-120, April 2021, doi: 10.1109/MWC.001.2000218

Understanding UAV-based WPCN-aided capabilities for offshore monitoring applications

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Author: Carrillo, Dick1; Mikhaylov, Konstantin2; Nardelli, Pedro J.1,2;
Organizations: 1LUT School of Energy Systems, Lappeenranta-Lahti University of Technology, Finland
2Centre for Wireless Communications, University of Oulu, Finland
3Unit of Electrical Engineering, Tampere University, Finland
4Department of Computer Engineering, Federal University of Ceará, Brazil
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 3.2 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2021-05-20


Despite the immense progress in recent years, efficient solutions for monitoring remote areas are still missing today. This is especially notable in the context of versatile maritime and offshore use cases, owing to a broader span of operating regions and a lack of radio network infrastructures. In this article, we address the noted challenge by delivering a conceptual solution based on the convergence of three emerging technologies: unmanned aerial vehicles (UAVs), battery-less sensors, and wireless powered communication networks (WPCNs). Our contribution offers a systematic description of the ecosystem related to the proposed solution by identifying its key actors and design dimensions together with the relevant resources and performance metrics. A system-level modeling-based evaluation of an illustrative scenario delivers deeper insights into the considered operation and the associated trade-offs. Further, unresolved challenges and perspective directions are underpinned for a subsequent study.

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Series: IEEE wireless communications
ISSN: 1536-1284
ISSN-E: 1558-0687
ISSN-L: 1536-1284
Volume: 28
Issue: 2
Pages: 114 - 120
DOI: 10.1109/MWC.001.2000218
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work is supported by the Academy of Finland via: (a) ee-IoT project n.319009; (b) FIREMAN consortium CHIST-ERA/n.326270; (c) EnergyNet Research Fellowship n.321265/n.328869; (d) project RADIANT (n.326196); (e) 6G Flagship (n.318927); (f) RoboMesh (n.336060); and (g) Project STREAM funded by Jane ja Aatos Erkon säätiö.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
336060 (Academy of Finland Funding decision)
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