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Energy-Aware System Design for Autonomous Wireless Sensor Nodes: A Comprehensive Review

期刊

SENSORS
卷 21, 期 2, 页码 -

出版社

MDPI
DOI: 10.3390/s21020548

关键词

energy harvesting; hybrid energy harvesting; wireless energy transfer; energy management; wake-up receiver; energy saving; energy efficiency; energy prediction; wireless sensor networks; compressive sensing

资金

  1. Chemnitz University of Technology

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This paper explores the significance of wireless sensor networks in various sectors and discusses key technologies for implementing battery-free and energy-aware WSNs. Research shows that comprehensive system design, along with energy management and energy-saving strategies, are crucial for achieving stable and sustainable solutions.
Nowadays, wireless sensor networks are becoming increasingly important in several sectors including industry, transportation, environment and medicine. This trend is reinforced by the spread of Internet of Things (IoT) technologies in almost all sectors. Autonomous energy supply is thereby an essential aspect as it decides the flexible positioning and easy maintenance, which are decisive for the acceptance of this technology, its wide use and sustainability. Significant improvements made in the last years have shown interesting possibilities for realizing energy-aware wireless sensor nodes (WSNs) by designing manifold and highly efficient energy converters and reducing energy consumption of hardware, software and communication protocols. Using only a few of these techniques or focusing on only one aspect is not sufficient to realize practicable and market relevant solutions. This paper therefore provides a comprehensive review on system design for battery-free and energy-aware WSN, making use of ambient energy or wireless energy transmission. It addresses energy supply strategies and gives a deep insight in energy management methods as well as possibilities for energy saving on node and network level. The aim therefore is to provide deep insight into system design and increase awareness of suitable techniques for realizing battery-free and energy-aware wireless sensor nodes.

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