scholarly journals Lightweight and Secure Publish-Subscribe System for Cloud-Connected Ultra Low Power IoT Devices

2021 ◽  
Vol 36 (1) ◽  
pp. 110-113
Author(s):  
Norisvaldo Junior ◽  
Anderson Silva ◽  
Adilson Guelfi ◽  
Marcelo Azevedo ◽  
Sergio Kofuji
Keyword(s):  
Low Power ◽  
Ultra Low Power ◽  
Iot Devices

scholarly journals Rural Healthcare IoT Architecture Based on Low-Energy LoRa

2021 ◽  
Vol 18 (14) ◽  
pp. 7660
Author(s):  
Ace Dimitrievski ◽  
Sonja Filiposka ◽  
Francisco José Melero ◽  
Eftim Zdravevski ◽  
Petre Lameski ◽  
...  
Keyword(s):  
Low Power ◽  
Rural Areas ◽  
Urban Areas ◽  
Well Being ◽  
Battery Life ◽  
Ultra Low Power ◽  
Term Operation ◽  
Doctor Patient Communication ◽  
Connected Health ◽  
Iot Devices

Connected health is expected to introduce an improvement in providing healthcare and doctor-patient communication while at the same time reducing cost. Connected health would introduce an even more significant gap between healthcare quality for urban areas with physical proximity and better communication to providers and the portion of rural areas with numerous connectivity issues. We identify these challenges using user scenarios and propose LoRa based architecture for addressing these challenges. We focus on the energy management of battery-powered, affordable IoT devices for long-term operation, providing important information about the care receivers’ well-being. Using an external ultra-low-power timer, we extended the battery life in the order of tens of times, compared to relying on low power modes of the microcontroller.

scholarly journals Non-Volatile Processor Based on MRAM for Ultra-Low-Power IoT Devices

2017 ◽  
Vol 13 (2) ◽  
pp. 1-23 ◽  
Author(s):  
Sophiane Senni ◽  
Lionel Torres ◽  
Gilles Sassatelli ◽  
Abdoulaye Gamatie
Keyword(s):  
Low Power ◽  
Ultra Low Power ◽  
Iot Devices

scholarly journals Providing Confidentiality and Integrity in Ultra Low Power IoT Devices

2019 ◽  
Author(s):  
Emanuele Valea ◽  
Mathieu Da Silva ◽  
Marie-Lise Flottes ◽  
Giorgio Di Natale ◽  
Sophie Dupuis ◽  
...  
Keyword(s):  
Low Power ◽  
Ultra Low Power ◽  
Iot Devices

Embedded memory options for ultra-low power IoT devices

2019 ◽  
Vol 93 ◽  
pp. 104634
Author(s):  
Khader Mohammad ◽  
Temesghen Tekeste ◽  
Baker Mohammad ◽  
Hani Saleh ◽  
Mahran Qurran
Keyword(s):  
Low Power ◽  
Embedded Memory ◽  
Ultra Low Power ◽  
Iot Devices

An Ultra-Low-Power, Self-Start-Up DC-DC Boost Converter for Self-Powered IoT Node

2021 ◽  
pp. 2250026
Author(s):  
Krishna Reddy Komatla ◽  
Sreehari Rao Patri
Keyword(s):  
Charge Transfer ◽  
Low Power ◽  
Output Voltage ◽  
Low Voltage ◽  
Boost Converter ◽  
Switching Loss ◽  
Ultra Low Power ◽  
Start Up ◽  
Self Powered ◽  
Iot Devices

This paper presents an ultra-low-power boost converter for self-powered IoT applications to self-start and power-up IoT devices from scratch without any requirement of an external start-up. The proposed converter and its clock generator operate in sub-threshold utilizing bulk-driven technique for low-power operation. The bulk-driven technique improves charge transfer switches for effective switching using auxiliary transistors. This approach enables a MOSFET to operate on supplies lower than its threshold voltage with a significant reduction in the reverse charge transfer and switching loss while increasing the voltage conversion efficiency and output voltage. To validate the performance of the proposed architecture, the post-layout simulation is carried out in standard CMOS 0.18[Formula: see text][Formula: see text]m technology. Under low-voltage supply of 0.4[Formula: see text]V, the simulated transient output voltage takes 110[Formula: see text][Formula: see text]s to reach 1.92[Formula: see text]V with 0.15[Formula: see text] output voltage ripple, while consuming the power of 772[Formula: see text]nW.

scholarly journals Experimental Frequency Tuning Methodology of a Cantilever Piezoelectric Harvester Validated in a Multimodal Transportation

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 79
Author(s):  
Ruben Del-Rio-Ruiz ◽  
Juan Jose Echevarria ◽  
Xabier Eguiluz ◽  
Juan-Manuel Lopez-Garde ◽  
Jon Legarda
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Frequency Tuning ◽  
Piezoelectric Energy Harvesting ◽  
Road Transportation ◽  
Data Logger ◽  
Ultra Low Power ◽  
Piezoelectric Energy ◽  
Phase Tuning ◽  
Iot Devices

Piezoelectric energy harvesting is a promising technology that increases the autonomy of low power IoT devices in scenarios that are subjected to mechanical vibrations. This work shows the potential of this technology to power IoT devices with the energy that is harvested from vibrations occurred during air and road transportation. Adjusting the natural resonance frequency of the piezoelectric generator (PEG) to the mechanical acceleration frequency that has the highest power spectral density is key to increase the harvested energy. Therefore, in this work a commercial PEG is tuned to the best spectrogram frequency of a real vibration signal following a two-phase tuning process. The harvested power generated by the PEG has been validated in real scenarios, providing 2.4 μ Wh during flight (take-off, cruise flight, and landing), 11.3 μ Wh during truck transportation in urban areas, and 4.8 μ Wh during intercity transportation. The PEG has been embedded in an ultra-low power IoT device to validate how much this harvested energy can increase the autonomy in a real scenario that is subjected to similar vibrations. An NFC temperature data logger is developed for perishable products that are transported by air and road transports. The energy harvested by the PEG tuned with the methodology proposed in this work has increased the autonomy of the data logger 16.7% during a real use case of 30 h, which validates the potential of the piezoelectric energy harvesting technology to increase the autonomy of future low power IoT devices used in scenarios with aperiodic vibrations.

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