MEMS based antenna of energy harvester for wireless sensor node

Yunus, Noor Hidayah Mohd; Sampe, Jahariah; Yunas, Jumril; Pawi, Alipah; Rhazali, Zeti Akma

doi:10.1007/s00542-020-04842-5

Cited by 11 publications

(7 citation statements)

References 17 publications

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“…Setiap dimensi mengikut struktur antena mikro-mesin tertentu telah dimodelkan menggunakan perisian serta dijalankan simulasi dengan penetapan operasi salunan pada 5 GHz. Reka bentuk antena dipastikan berpadanan galangan iaitu 50 Ω berhubung dengan padanan galangan litar penuai tenaga RF yang disambungkan (Yunus et al 2020). Terdapat empat reka bentuk antena yang disimulasi bagi mendapatkan hasil perbandingan dimensi struktur dan parameter prestasi antena.…”

Section: Simulasi Model Antena Memsunclassified

“…Bentuk seperti dipol, segi empat dan bulat adalah yang paling biasa digunakan kerana mudah untuk difabrikasi dan dianalisa serta sifat pemancaran berpolarasi-silang yang rendah (Shrestha et al 2013). Faktor utama yang menyumbangkan kepada kemajuan antena mikrojalur adalah revolusi pengecilan litar elektronik yang dipengaruhi oleh perkembangan dalam Integrasi Berskala Besar (VLSI) (Yunus et al 2020). Antena mikrojalur berdasarkan proses teknologi fabrikasi Mikro Elektro Mekanik (MEMS) dilihat sebagai suatu kejayaan di dalam kejuruteraan (Thorat & Pande, 2015;Yunus et al 2019).…”

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Design and performance of radio frequency micro energy harvesting MEMS antenna for low power electronic devices

Sampe¹,

Yunus²,

Yunas³

et al. 2023

jkukm

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Radio Frequency (RF) ambient energy has become the choice as a source of green energy for energy harvesting systems due to the existence of electromagnetic wave signals that are always present in the environment without incurring cost. This RF energy is very low usually less than 190 µW. However, the antenna needs to supply sufficient power to the RF energy harvesting system to power low-power electronic devices. Therefore, the antenna needs to be designed to capture and transfer energy to the RF micro energy harvesting circuit to supply optimal power to the electronic device. The micro-strip antenna design using Micro Electro Mechanical (MEMS) fabrication technology process is the most suitable choice because of its small size, light weight and high performance. This MEMS antenna design uses Computer Simulation TechnologyMicrowave-Studio software(CST-MWS). Comparisons were made for four types of antennas namely silicon surface micromachine, silicon bulk micro-machine with air cavity, glass surface micro-machine and RT/Duroid 5880 as reference. The simulation results show that the glass surface micro-machine antenna is the smallest in size compared to the other three antennas. The return loss of this antenna is also better which is increased by 55.1% and 5.6% compared to silicon surface micro-machine antennas and conventional RT/Duroid antennas respectively. The antenna also has a large bandwidth of 117 MHz, a gain of more than 5 dB and a direction of more than 5 dBi. The glass surface micro-machine antenna has been successfully fabricated using MEMS technology which produces a transparent antenna measuring (L/W) 19 mm x 19 mm. This small sized MEMS antenna is highly sensitive and highly effective for capturing ambient RF signals and is capable of supplying sufficient power to the RF energy harvester system.

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Section: Simulasi Model Antena Memsunclassified

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Design and performance of radio frequency micro energy harvesting MEMS antenna for low power electronic devices

Sampe¹,

Yunus²,

Yunas³

et al. 2023

jkukm

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“…Healthcare monitoring systems or e-Health systems are devices that use a wireless sensor network (WSN) to observe severe or chronic diseases in humans [1] In this era, there are many smart watches out in the market that claim to track the condition of the body accurately. However, these smartwatches could not be used to diagnose a medical condition.…”

Section: Introductionmentioning

confidence: 99%

“…The Beer-Law, Lambert's which connects the concentration of a solute in a solvent to the absorption of light passing through the solution [14], is used to do this. Equation (1) represents the relationship between the concentration of the solute and the absorption of light.…”

Section: Introductionmentioning

confidence: 99%

Smart Monitoring System for Chronic Kidney Disease Patients based on Fuzzy Logic and IoT

Maniam¹,

Sampe²,

Jaafar³

et al. 2022

IJACSA

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A Chronic Kidney Disease (CKD) monitoring system was proposed for early detection of cardiovascular disease (CVD) and anemia using Fuzzy Logic. To determine the heart rate and blood oxygen saturation, the proposed model was simulated using MATLAB and Simulink to handle ECG and PPG inputs. The Pan-Tompkins method was used to determine the heart rate, while the Takuo Aoyagi algorithm was used to assess blood oxygen saturation levels. The findings show that the ECG recorded using the CKD model has all of the characteristics of a typical ECG wave cycle, but with reduced signal degradation in the 0.8-1.3mV region. The heart rate signal processing yielded findings between 78 and 83 beats per minute is within the range of the supplied heart rate. Takuo Aoyagi's pulse oximeter simulation generated the same findings. For real-time verification, the proposed model was implemented in hardware using ESP8266 32-bit microcontroller with IoT integration via Wireless Fidelity for data storage and monitoring. In comparison with the Fuzzy Logic simulation done on MATLAB and Simulink, the CKD monitoring device has 100% accuracy in patient status detection. The CKD monitoring system has an overall accuracy of 99% in comparison with a commercial fingertip pulse oximeter.

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“…Radio Frequency Identification (RFID) is one of the integration applications that work with the IoT that is widely employed in the biomedical and healthcare industries. With the IoT, we can monitor a patient's health such and observing his severe or chronic disease [1] and tracking medical members and properties through smart application devices by using Wireless Sensor Network (WSN) nodes [2,3] or RFID tags that are connected to the server. RFID is a system that aims to exchange identification information or data from the tag to the RFID reader through an RF transceiver antenna [4] to carry out specific applications based on the data stored in the tag [5].…”

Section: Introductionmentioning

confidence: 99%

A Fast Digital Phase Frequency Detector with Preset Word Frequency Searching in ADPLL for a UHF RFID Reader

Ishak

Sampe

Nayan

et al. 2022

Eng. Technol. Appl. Sci. Res.

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An All-Digital Phase-Locked Loop (ADPLL) is an architecture that is widely employed in the communication system due to the advancement of the Complementary Metal-Oxide-Semiconductor (CMOS) technology process. A 2.4GHz Radio Frequency Identification (RFID) system needs a frequency synthesizer in the local oscillator architecture of the transceiver to generate a stable frequency tuning range Therefore, in this paper, a Digital Phase-Frequency Detector (DPFD) is designed to achieve the phase and frequency acquisition in the ADPLL system. The proposed DPFD is divided into two main parts, the first is the Phase Detector (PD) and the second is the Frequency Detector (FD). The PD has managed to detect the presence of the phase difference by recognizing two different input signals. The FD, on the other hand, is capable to detect the higher frequency by identifying the output signals from the PD in digital formation. In addition, a control unit module is developed to control and adjust the Preset Word (PW) for the system by using a binary search scheme. Comparison results show that the final value of the PW from the simulation is the same as from the manual calculation (theoretical values). The digital PFD and the PW control modules are designed and simulated by using Verilog HDL code. These two designed modules will be integrated into the targeted ADPLL to achieve fast locking performance and ultra-low power for Ultra-High Frequency (UHF) RFID applications.

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MEMS based antenna of energy harvester for wireless sensor node

Cited by 11 publications

References 17 publications

Design and performance of radio frequency micro energy harvesting MEMS antenna for low power electronic devices

Design and performance of radio frequency micro energy harvesting MEMS antenna for low power electronic devices

Smart Monitoring System for Chronic Kidney Disease Patients based on Fuzzy Logic and IoT

A Fast Digital Phase Frequency Detector with Preset Word Frequency Searching in ADPLL for a UHF RFID Reader

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