Optimization of RF- DC converter in micro energy harvester using voltage boosting network and bulk modulation technique for biomedical devices

Zulkifli, Farah Fatin; Sampe, Jahariah; Islam, Mohd Shabiul; Mohamed, Mohd Ambri; Wahab, Shafii A.

doi:10.1109/rsm.2015.7354975

Cited by 11 publications

(4 citation statements)

References 13 publications

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“…Signal processing block consists of amplifiers and voltage sensor modules [35], [36]. The Bio-FET sensor's output signal will be amplified using an instrumentation amplifier module [37], [38]. The instrumentation amplifier circuit has three Operational Amplifiers (op-amp) to obtain a gain of 100 purposely for amplifying the input voltage from mV to V. Figure 3 shows the circuit diagram of the classic three op-amp amplification circuit in a non-inverting configuration.…”

Section: Proposed Bio-fet Sensor Interface Modulementioning

confidence: 99%

Bio-FET Sensor Interface Module for COVID-19 Monitoring Using IoT

et al. 2022

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Rapid transmission of the coronavirus disease via droplets and particles has led to a global pandemic. Expeditious detection of SARS-Cov-2 RNA in the environment is attainable by using Bio-FET sensors. This work proposes a Bio-FET sensor interface module with IoT implementation to amplify signals from a Bio-FET for SARS-Cov-2 detection and monitoring. The sensor interface module was programmed to read the signals using a micro-controller and process information to determine the presence of SARS-Cov-2. The proposed Bio-FET sensor interface module was also set to transmit data to the Cloud via W-Fi to be stored and displayed on a dashboard. The prototype Bio-FET sensor interface module was simulated in PSpice for signal amplification, and hardware implementation has been done by using low-cost components for data transmission to the Cloud. The hardware consists of an AD620 instrumentation amplifier module, voltage sensor module, Neo-6m GPS sensor module, an OLED display, and an ESP8266-32 bit micro-controller. The results of both the simulation and the hardware implementation are similar. The emulated negative and positive Bio-FET signal outputs were successfully amplified from 15.9mV and 45.8mV to 1.59V and 4.58V, respectively, using an AD620 instrumentation amplifier. The gathered location, time, date, output voltage, and SARS-Cov-2 presence results were successfully stored and displayed on the Cloud dashboard.

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Section: Proposed Bio-fet Sensor Interface Modulementioning

confidence: 99%

Bio-FET Sensor Interface Module for COVID-19 Monitoring Using IoT

et al. 2022

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“…For simplicity in the experiment, it has been assumed to be always constant and equal to 3. The drain or rectifier efficiency is the ratio of the output radio frequency (RF) power to the input direct current (DC) power [28]. It is a measure of how much DC power is converted to RF power.…”

Section: Energy Consumptionmentioning

confidence: 99%

Evaluation of WSN's Resilience to Challenges in Smart Cities

Aljohani¹,

Alenazi²

2020

IJCCE

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Smart cities are considered to be one of the most important applications of the IoT notion. Most smart city applications rely fundamentally on ubiquitous sensing, enabled by Wireless Sensor Network (WSN) technologies. These sensor networks are vulnerable to different challenges that cause failures in some parts of the network, which in turn interfere with the availability of network services and weaken the user experience. In this paper, we introduce a graph-theoretic model of wireless sensor networks used in smart cities. Moreover, we present several challenges, such as natural disasters and random failures and evaluate the system's performance in terms of data delivery, end to end delay, and energy consumption. The evaluation results show that fire is the challenge that causes the most damage among the three challenges examined, while random failure has the least effect on network performance. The results also show that the modeled WSN's can cope well with the challenge of random failures.

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“…In this research, the antenna impedance is 50 Ohm at the desired frequency of operation. The rectenna design is based on the impedance interface of 50 Ohm (Zulkifli et al, 2015b) for reducing complexity in the total rectenna design system (Zhang et al, 2014b). This system is equipped with a dual band patch receiving antenna, to capture dual frequency band of 1.9 and 2.45 GHz incident RF power radiated by communication and broadcasting systems.…”

Section: Proposed Block Diagrammentioning

confidence: 99%

MEMS Based RF Energy Harvester for Battery-Less Remote Control: A Review

Yunus¹,

Sampe²,

Yunas³

et al. 2017

American Journal of Applied Sciences

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The paper deals with the growing interest of energy harvesting systems due to great development in many new emerging technologies in electronics and telecommunication. The research focuses particularly about rectenna element comprises of antenna, impedance matching and rectifier. The rectenna is applied under Micro-Electromechanical-System (MEMS) technology design use in Radio Frequency (RF) energy harvester. MEMS is a technology of miniaturization that has been mostly adopted from integrated circuit industry together on a chip that are made using micro fabrication technique and applied for not only electrical systems. RF ambient source is considered over other ambient sources because RF can be broadcasted by various wireless systems in unlicensed frequency bands. However, the amount of energy captured from the ambient RF is extremely low which need improvements and more Direct Current (DC) voltage generated from RF energy harvester. For this motivation, a dual band MEMS rectenna is proposed for maximizing the efficiency. Power Management Unit (PMU) is interposed between MEMS rectenna and a load. The system is equipped with temporary energy storage and voltage regulator to produce optimum output voltage. The paper proposes a system that is designed and simulated using PSpice software and modeled in Mentor Graphic. The stated result from RF MEMS energy harvester is to provide functional conversion efficiency and reliable energy harvesting system to reach 1.5-3.0 V output voltage for operating frequency at 1.9 and 2.45 GHz from RF input power at -20 dBm with reveal approximately 100% improvement over other existing designs. The conceptual design can be the platform for innovative developments in recent technologies to achieve wireless transmission powered only by RF MEMS energy harvester.

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Optimization of RF- DC converter in micro energy harvester using voltage boosting network and bulk modulation technique for biomedical devices

Cited by 11 publications

References 13 publications

Bio-FET Sensor Interface Module for COVID-19 Monitoring Using IoT

Bio-FET Sensor Interface Module for COVID-19 Monitoring Using IoT

Evaluation of WSN's Resilience to Challenges in Smart Cities

MEMS Based RF Energy Harvester for Battery-Less Remote Control: A Review

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