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arXiv 2012.12424eess.SP
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了解基于无人机的海上监测应用的WPCN辅助能力

Understanding UAV-Based WPCN-Aided Capabilities for Offshore Monitoring Applications

Dick Carrillo, Konstantin Mikhaylov, Pedro J. Nardelli, Sergey Andreev, Daniel B. da Costa

摘要:

尽管近年来取得了巨大的进步,但今天仍然缺乏监测偏远地区的有效解决方案。这在多用途海上和近海用例中尤其明显,因为运营区域范围更广,而且缺乏无线电网络基础设施。在本文中,我们通过提供基于三种新兴技术(无人机(UAV),无电池传感器和无线供电通信网络(WPCN))的融合的概念解决方案来解决上述挑战。我们的贡献提供了一个系统的描述生态系统相关的建议的解决方案,确定其关键参与者和设计维度以及相关的资源和性能指标。一个系统级的建模为基础的评估说明性的场景提供了更深入的见解所考虑的操作和相关的权衡。此外,未解决的挑战和前景方向的基础,为后续的研究。

英文摘要:

Despite the immense progress in the 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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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