摘要翻译：
传感器网络（sensor networks，WSNs)是近年来提出的信息物理系统(CPSs)和物联网的重要组成部分，它可以将物理世界与嵌入式软件系统连接起来。能量获取(EH)作为一种应用于SNs的使能技术，可以大大降低安装和维护成本，提高系统寿命、灵活性和可扩展性，因为EH面临着重要的“能量中断”问题，即EH输出会严重干扰系统任务。该问题不仅影响系统的建模，而且关系到跨层网络的设计和可调度性。本文讨论了EH供电CPS的体系结构和一些理论问题。特别地，我们提出了一个完全EH支持CPS的框架，在这个框架中讨论了一些重要的问题，如EH软件体系结构、EH模型和实时通信。讨论了CPSs的不同EH模型（如完全EH供电和部分EH供电）。最后对今后的研究方向进行了简要的讨论。
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英文标题：
《Towards Energy Harvesting Powered Sensor Networks for Cyber-Physical
  Systems》
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作者：
Peng Hu
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最新提交年份：
2018
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
  The concept of sensor networks (WSNs) has become an important component of the recently proposed cyber-physical systems (CPSs) and Internet of Things which can connect the physical world with embedded software systems. Energy- harvesting (EH) as an enabling technology applied in SNs can heavily reduce the installation and maintenance cost as well as increase system life, flexibility, and scalability as the EH is subject to the important "energy interruption" problem where system tasks can be significantly disrupted by the EH outputs. This problem not only affects the system modeling but also relates to the cross-layer network design and schedulability. This paper discusses the EH-powered CPS architecture and some theoretical problems. In particular, we propose a framework for fully EH-powered CPS, within which essential topics are discussed, such as EH software architecture, EH models, and real-time communication. Different EH models for CPSs (e.g., fully EH-powered and partially EH-powered) are addressed. Future research directions are briefly discussed in the end.
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PDF链接：
https://arxiv.org/pdf/1806.08218