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
|Author:||Carrillo, Dick1; Mikhaylov, Konstantin2; Nardelli, Pedro J.1,2;|
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
|Online Access:||PDF Full Text (PDF, 3.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2021052030745
Institute of Electrical and Electronics Engineers,
|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.
IEEE wireless communications
|Pages:||114 - 120|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
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 (Academy of Finland Funding decision)
336060 (Academy of Finland Funding decision)
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