Next Generation Wireless Energy Aware Sensors for Internet of Things: A Review

Kanoun, Olfa; Keutel, Thomas; Viehweger, Christian; Zhao, Xiaonan; Bradai, Sonia; Naifar, Slim; Trigona, Carlo; Kallel, Bilel; Chaour, Issam; Bouattour, Ghada; Khriji, Sabrine; Houssaini, Dhouha El; Götz, Martín

doi:10.1109/ssd.2018.8570695

Cited by 39 publications

(12 citation statements)

References 53 publications

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“…Harvesting energy from ambient sources is challenging since it is limited, unstable, random and variable relative to the application and the environmental condition. To enhance the available energy for wireless sensor networks, several techniques have been proposed to improve the performance of energy autonomous systems from real ambient sources [ 1 ]. Nevertheless, both ambient sources and converters have their own limitations.…”

Section: Energy Supply For Wireless Sensor Nodesmentioning

confidence: 99%

“…Wireless sensor networks are becoming increasingly important, supported by several trends of digitalization [ 1 , 2 , 3 ]. Different trends towards the Internet of Things (IoT), Industry 4.0 and 5G networks address massive sensing and implicitly admit to have wireless sensors delivering measurement data directly to the web in a reliable and easy manner.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Energy Supply For Wireless Sensor Nodesmentioning

confidence: 99%

Section: Introductionmentioning

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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“…Moreover, an IPT system works properly with the highest performance when the transmitter and the receiver coils are in resonance conditions as well as concentric position with minimal separation distance [52,66]. The misalignment between the coils situated in transmitter and the receiver sides influences the coupling factor of the IPT systems and then the transmission efficiency and the received power.…”

Section: Energy Transfermentioning

confidence: 99%

Edge Devices for Internet of Medical Things: Technologies, Techniques, and Implementation

et al. 2021

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The health sector is currently experiencing a significant paradigm shift. The growing number of elderly people in several countries along with the need to reduce the healthcare cost result in a big need for intelligent devices that can monitor and diagnose the well-being of individuals in their daily life and provide necessary alarms. In this context, wearable computing technologies are gaining importance as edge devices for the Internet of Medical Things. Their enabling technologies are mainly related to biological sensors, computation in low-power processors, and communication technologies. Recently, energy harvesting techniques and circuits have been proposed to extend the operating time of wearable devices and to improve usability aspects. This survey paper aims at providing an overview of technologies, techniques, and algorithms for wearable devices in the context of the Internet of Medical Things. It also surveys the various transformation techniques used to implement those algorithms using fog computing and IoT devices.

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“…The fourth industrial revolution has driven changes in several sectors by the introduction of novel sensor and communication technologies [1,2]. Thereby, the progress in the field of manufacturing requires the automation of the production process by the measurement of material properties in real-time.…”

Section: Introductionmentioning

confidence: 99%

Eddy Current Sensor System for Tilting Independent In-Process Measurement of Magnetic Anisotropy

Wendler

Munjal

Waqas

et al. 2021

Sensors

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Modern production equipment is based on the results of quality control as well as process parameters. The magnetic anisotropy of materials is closely connected to internal mechanical stress by the Villari effect, and also to hardening effects due to plastic deformations, and could therefore provide an interesting basis for process control. Nevertheless, the analysis of anisotropic properties is extremely sensitive to sensor and workpiece misalignments, such as tilting. In this work, a novel eddy current sensor system is introduced, performing a non-contact measurement of the magnetic anisotropy of a workpiece and realizing a separation and correction of tilting effects. The measurement principle is demonstrated with the example of two samples with different magnetic anisotropy values induced by cold forming. Both samples are analyzed under different tilt angles between the sensor axis and the surface of the workpiece. In this work, digital signal processing is demonstrated on the acquired raw data in order to differentiate the effects of tilt and of anisotropy, with the use of preliminary results as an example of two prepared samples.

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Next Generation Wireless Energy Aware Sensors for Internet of Things: A Review

Cited by 39 publications

References 53 publications

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

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

Edge Devices for Internet of Medical Things: Technologies, Techniques, and Implementation

Eddy Current Sensor System for Tilting Independent In-Process Measurement of Magnetic Anisotropy

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