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射频能量收集的综合调查:应用与性能决定因素

A Comprehensive Survey on RF Energy Harvesting: Applications and Performance Determinants.

作者信息

Sherazi Hafiz Husnain Raza, Zorbas Dimitrios, O'Flynn Brendan

机构信息

School of Computing and Engineering, University of West London, London W5 5RF, UK.

Tyndall National Institute, University College Cork, T12R5CP Cork, Ireland.

出版信息

Sensors (Basel). 2022 Apr 13;22(8):2990. doi: 10.3390/s22082990.

Abstract

There has been an explosion in research focused on Internet of Things (IoT) devices in recent years, with a broad range of use cases in different domains ranging from industrial automation to business analytics. Being battery-powered, these small devices are expected to last for extended periods (i.e., in some instances up to tens of years) to ensure network longevity and data streams with the required temporal and spatial granularity. It becomes even more critical when IoT devices are installed within a harsh environment where battery replacement/charging is both costly and labour intensive. Recent developments in the energy harvesting paradigm have significantly contributed towards mitigating this critical energy issue by incorporating the renewable energy potentially available within any environment in which a sensor network is deployed. Radio Frequency (RF) energy harvesting is one of the promising approaches being investigated in the research community to address this challenge, conducted by harvesting energy from the incident radio waves from both ambient and dedicated radio sources. A limited number of studies are available covering the state of the art related to specific research topics in this space, but there is a gap in the consolidation of domain knowledge associated with the factors influencing the performance of RF power harvesting systems. Moreover, a number of topics and research challenges affecting the performance of RF harvesting systems are still unreported, which deserve special attention. To this end, this article starts by providing an overview of the different application domains of RF power harvesting outlining their performance requirements and summarizing the RF power harvesting techniques with their associated power densities. It then comprehensively surveys the available literature on the horizons that affect the performance of RF energy harvesting, taking into account the evaluation metrics, power propagation models, rectenna architectures, and MAC protocols for RF energy harvesting. Finally, it summarizes the available literature associated with RF powered networks and highlights the limitations, challenges, and future research directions by synthesizing the research efforts in the field of RF energy harvesting to progress research in this area.

摘要

近年来,针对物联网(IoT)设备的研究呈爆发式增长,其用例广泛,涵盖从工业自动化到商业分析等不同领域。这些小型设备由电池供电,预计能持续运行较长时间(即在某些情况下长达数十年),以确保网络寿命以及具有所需时间和空间粒度的数据流。当物联网设备安装在恶劣环境中时,这一点变得尤为关键,因为在这种环境下更换/充电电池成本高昂且劳动强度大。能量收集范式的最新发展通过利用传感器网络部署环境中潜在可用的可再生能源,为缓解这一关键能源问题做出了重大贡献。射频(RF)能量收集是研究界正在研究的一种有前景的方法,旨在通过从环境和专用无线电源的入射无线电波中收集能量来应对这一挑战。虽然有一些研究涵盖了该领域特定研究主题的现有技术水平,但在整合与影响射频功率收集系统性能的因素相关的领域知识方面仍存在差距。此外,一些影响射频收集系统性能的主题和研究挑战仍未得到报道,值得特别关注。为此,本文首先概述射频功率收集的不同应用领域,概述其性能要求,并总结相关功率密度的射频功率收集技术。然后全面调查关于影响射频能量收集性能的各个方面的现有文献,同时考虑评估指标、功率传播模型、整流天线架构以及射频能量收集的介质访问控制协议。最后,总结与射频供电网络相关的现有文献,并通过综合射频能量收集领域的研究成果,突出局限性、挑战和未来研究方向,以推动该领域的研究进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9402/9026445/55ae75ca0322/sensors-22-02990-g001.jpg

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