TY - JOUR
T1 - Understanding UAV-Based WPCN-Aided Capabilities for Offshore Monitoring Applications
AU - Carrillo, Dick
AU - Mikhaylov, Konstantin
AU - Nardelli, Pedro J.
AU - Andreev, Sergey
AU - Da Costa, Daniel B.
N1 - Funding Information:
AcKnoWledgMents 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.
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2021/4
Y1 - 2021/4
N2 - 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.
AB - 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.
U2 - 10.1109/MWC.001.2000218
DO - 10.1109/MWC.001.2000218
M3 - Article
AN - SCOPUS:85100863743
SN - 1536-1284
VL - 28
SP - 114
EP - 120
JO - IEEE Wireless Communications
JF - IEEE Wireless Communications
IS - 2
M1 - 9351835
ER -