Multiple Input Energy Harvesting Systems for Autonomous IoT End-Nodes

Estrada-López, Johan J.; Abuellil, Amr; Zeng, Zizhen; Sánchez-Sinencio, E.

doi:10.3390/jlpea8010006

Cited by 31 publications

(17 citation statements)

References 29 publications

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“…Other relevant circuit designs for ultra-low power management used in energy harvesting powered IoT systems, with a special focus on multiple energy sources, have recently been reviewed (Estrada-Lopez et al, 2018).…”

Section: Othersmentioning

confidence: 99%

Hybrid, Multi-Source, and Integrated Energy Harvesters

2018

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Energy harvesting is one of the most rapidly growing of the emerging technologies. This field has arrived at the hybrid and multi-source era, where hybrid structures and novel materials are able to boost the energy conversion efficiency and/or make the harvesters capable of benefitting from multiple energy sources simultaneously. Such hybrid and multi-source energy harvesters have not frequently been reviewed in the past, potentially because of the small number of publications compared to that of their single-source and individual counterparts. However, as their number is becoming larger, it is now necessary to give sufficient and frequent reviews of developments in the field. Furthermore, an increasing number of developed energy harvesters are moving out of the laboratory into industrial markets. In practice, energy harvesters need to be integrated with energy storage and/or end users such as sensors and wireless sensor networks. Therefore, the harvester-storage and harvester-sensor integration systems also need to be reviewed frequently. This mini review includes works reported in the first half of 2018 and provides a timely update to the published review. It focuses on the abovementioned hybrid and multi-source energy harvesters as well as on integrated harvesters, energy storage systems and end users (e.g., sensors), including CMOS (complementary metal-oxide-semiconductor) technology-based harvesters and systems.

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Section: Othersmentioning

confidence: 99%

Hybrid, Multi-Source, and Integrated Energy Harvesters

2018

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“…Hybrid energy management techniques are developed depending on the properties of the hybrid sources and the application requirements [ 80 ]. In [ 81 ], an effective technique of harvesting the energy coming from multiple sources is realized through a diode based “Power ORing” architecture.…”

Section: Energy Managementmentioning

confidence: 99%

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

Kanoun

Bradai

Khriji

et al. 2021

Sensors

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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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“…A 10 cm 2 energy harvesting device could supply 100 µW of average power, a manageable area for an embedded sensor node. Energy harvesting requires a number of straight-forward regulators and circuits [12], infrastructure mostly built on the SoC FPAA IC [3].…”

Section: Low-power Context-aware Fpaa Architecturesmentioning

confidence: 99%

Security Implications for Ultra-Low Power Configurable SoC FPAA Embedded Systems

Hasler

Shah

2018

JLPEA

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We discuss the impact of physical computing techniques to classifying network security issues for ultra-low power networked IoT devices. Physical computing approaches enable at least a factor of 1000 improvement in computational energy efficiency empowering a new generation of local computational structures for embedded IoT devices. These techniques offer computational capability to address network security concerns. This paper begins the discussion of security opportunities for, and issues using, FPAA devices for small embedded IoT platforms. These FPAAs enable devices often utilized for low-power context aware computation. Embedded FPAA devices have both positive Security attributes, as well as potential vulnerabilities. FPAA devices can be part of the resulting secure computation, such as implementing unique functions. FPAA devices can be used investigate security of analog/mixed signal capabilities. The paper concludes with summarizing key improvements for secure ultra-low power embedded FPAA devices.

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Multiple Input Energy Harvesting Systems for Autonomous IoT End-Nodes

Cited by 31 publications

References 29 publications

Hybrid, Multi-Source, and Integrated Energy Harvesters

Hybrid, Multi-Source, and Integrated Energy Harvesters

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

Security Implications for Ultra-Low Power Configurable SoC FPAA Embedded Systems

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