An RF-Powered Wireless Temperature Sensor for Harsh Environment Monitoring With Non-Intermittent Operation

Saffari, Parvaneh; Basaligheh, Ali; Sieben, Vincent J.; Moez, Kambiz

doi:10.1109/tcsi.2017.2758327

Cited by 32 publications

(8 citation statements)

References 35 publications

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“…On the other hand, implemented in a CMOS−130 nm technology, a fully integrated RF-powered temperature sensor managed to operate non-intermittently with 1.05 µW power consumption and −16 dBm, 915 MHz input (Saffari et al, 2018). As distinct from other works, this RF harvester-temperature sensor system eliminated the power management circuit for a minimalistic design.…”

Section: Cmos Technology-based Harvesters and Systemsmentioning

confidence: 99%

“…Beside CMOS-based power conditioning circuitry, full integrations involving energy harvesters have also been reported. For instance, RF energy harvesters were integrated with a power management circuit, temperature sensor or image sensor on the same chip (Khan et al, 2018;Park et al, 2018;Saffari et al, 2018). The RF-DC converter using internal threshold voltage cancellation with an auxiliary transistor block was implemented in a CMOS−180 nm technology together with a MPPT (Khan et al, 2018).…”

Section: Cmos Technology-based Harvesters and Systemsmentioning

confidence: 99%

“…To achieve this, a subthreshold ring oscillator was used in order to produce a highly temperaturedependent oscillation frequency, thus acting as a temperaturefrequency converter. The frequency-modulated signal was then transferred to an external reader using back scattering (Saffari et al, 2018).…”

Section: Cmos Technology-based Harvesters and Systemsmentioning

confidence: 99%

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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: Cmos Technology-based Harvesters and Systemsmentioning

confidence: 99%

Section: Cmos Technology-based Harvesters and Systemsmentioning

confidence: 99%

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Hybrid, Multi-Source, and Integrated Energy Harvesters

2018

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“…To judge by the literature investigation, it seems that the WSNs are actually the most researching part of wireless communication domain, e.g. in harsh environments (Xoshigoe 2017;Pereira da Cunha et al 2016;Aqueveque et al 2018;Verma et al 2018;Saffari et al 2018).…”

Section: Wireless Vs Wired Comunication In Harsh Environmentsmentioning

confidence: 99%

A theoretical approach to a safety-based predictive adaptation of wireless communication channel parameters in harsh environments

Gaus

Schwarz

Boercsoek

2020

Saf. Extreme Environ.

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This paper presents an approach to a real-time optimization of safety parameters in wireless communication systems. When considering the GEC-model (Generalized Erasure Channel) and the black channel design of a communication channel, then the PFH (Probability of Failure per Hour) value can be estimated using the parameters ε-BER (bit-error-rate), φ-BLR (bit-lossrate), vnumber of safety related messages per second, nmessage length and d minminimum distance of a linear code. The number of safety related messages per second v and the message length n, including the information block k and the checksum block r, can be varying between the permissible bounds. Accordingly, the variable parameters can be adjusted at run-time with additional assimilation of the used cyclic code. It allows the real-time prediction and optimization of the safety parameters. In this paper, the concept of the parameter estimation is discussed and based on it the optimization problem is defined.

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“…VER THE past two decades, we witnessed the revolution of wireless sensor network (WSN) and the associated fields, including, Internet of Things (IoT), wearable and implantable biomonitoring devices, machine to machine communication and cyber-physical systems [1]- [3]. One of the visions of WSN is to autonomously monitor the environmental parameters such as temperature, moisture, and dissolved oxygen [4], [5]. The WSN market was valued at USD 29.06 Billion at 2016, and it is expected to reach USD 93.86 Billion by 2023 [6].…”

Section: Introductionmentioning

confidence: 99%

A Dual-Mode Nested Rectifier for Ambient Wireless Powering in CMOS Technology

Almansouri

Kosel

Salama

2020

IEEE Trans. Microwave Theory Techn.

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This paper proposes a dual-mode nested RF rectifier for ambient wireless powering. The proposed architecture utilizes a dual-mode nested feedback circuit to enhance the conductivity of the rectifier at low-power while reducing the reverse leakage current at high-power by generating supply voltages at the gates of the PMOS rectifying transistors. The proposed rectifier is fabricated in 65 nm CMOS technology and occupies an area of 6480 µm 2. The measurement results show a peak power conversion efficiency of 86%, 10.1 dB dynamic range, and-19.2 dBm 1-V sensitivity when operating with a 100 kΩ load at the industrial, scientific and medical band 433 MHz. Moreover, the enhanced low-power performance is achieved by reducing the effective threshold voltage of the rectifier by about 37%, compared to a lowthreshold transistor in 65 nm technology. This reduction in the threshold voltage allows the rectifier to operate with efficiency exceeding 10% for input power ≥-40 dBm.

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An RF-Powered Wireless Temperature Sensor for Harsh Environment Monitoring With Non-Intermittent Operation

Cited by 32 publications

References 35 publications

Hybrid, Multi-Source, and Integrated Energy Harvesters

Hybrid, Multi-Source, and Integrated Energy Harvesters

A theoretical approach to a safety-based predictive adaptation of wireless communication channel parameters in harsh environments

A Dual-Mode Nested Rectifier for Ambient Wireless Powering in CMOS Technology

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