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首页> 外文期刊>Internet of Things Journal, IEEE >Energy Management in RFID-Sensor Networks: Taxonomy and Challenges
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Energy Management in RFID-Sensor Networks: Taxonomy and Challenges

机译:RFID传感器网络中的能源管理:分类法和挑战

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摘要

Ubiquitous computing is foreseen to play an important role for data production and network connectivity in the coming decades. The Internet of Things (IoT) research which has the capability to encapsulate identification potential and sensing capabilities, strives toward the objective of developing seamless, interoperable, and securely integrated systems which can be achieved by connecting the Internet with computing devices. This gives way for the evolution of wireless energy harvesting (EH) and power transmission using computing devices. Radio frequency (RF) based energy management (EM) has become the backbone for providing energy to wireless integrated systems. The two main techniques for EM in RF identification sensor networks (RSN) are EH and energy transfer (ET). These techniques enable the dynamic energy level maintenance and optimization as well as ensuring reliable communication which adheres to the goal of increased network performance and lifetime. In this paper, we present an overview of RSN, its types of integration and relative applications. We then provide the state-of-the-art EM techniques and strategies for RSN from August 2009 till date, thereby reviewing the existing EH and ET mechanisms designed for RSN. The taxonomy on various challenges for EM in RSN has also been articulated for open research directives.
机译:预计在未来几十年中,无处不在的计算将在数据生产和网络连接中发挥重要作用。物联网(IoT)研究具有封装识别潜力和感知能力的能力,致力于实现开发无缝,可互操作且安全集成的系统的目标,该系统可以通过将Internet与计算设备连接来实现。这为使用计算设备的无线能量收集(EH)和功率传输的发展让路。基于射频(RF)的能源管理(EM)已成为向无线集成系统提供能源的骨干。 RF识别传感器网络(RSN)中用于EM的两种主要技术是EH和能量传输(ET)。这些技术可实现动态能级的维护和优化,并确保可靠的通信,从而实现了提高网络性能和使用寿命的目标。在本文中,我们概述了RSN,其集成类型和相关应用程序。然后,我们从2009年8月至今提供RSN的最新EM技术和策略,从而回顾了为RSN设计的现有EH和ET机制。对于开放研究指令,还明确阐述了RSN中EM面临的各种挑战的分类法。

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