Low power multiplication/division computing unit for IOT applications

2021 ◽  
Author(s):  
Dina M. Ellaithy
Keyword(s):  
Low Power ◽  
Iot Applications ◽  
Computing Unit

Micro - GAGE: A Low-power Compact GAGE Hash Function Processor for IoT Applications

2020 ◽  
Author(s):  
Mohamed El-Hadedy ◽  
Martin Margala ◽  
Sergiu Mosanu ◽  
Danilo Gligoroski ◽  
Jinjun Xiong ◽  
...  
Keyword(s):  
Low Power ◽  
Hash Function ◽  
Iot Applications

PVT ‐compensated low‐voltage and low‐power CMOS LNA for IoT applications

2020 ◽  
Vol 30 (11) ◽  
Author(s):  
Sajad Nejadhasan ◽  
Fatemeh Zaheri ◽  
Ebrahim Abiri ◽  
Mohammad Reza Salehi
Keyword(s):  
Low Power ◽  
Low Voltage ◽  
Iot Applications ◽  
Low Power Cmos ◽  
Cmos Lna

A 75.3 pJ/b Ultra-Low Power MEMS-based FSK Transmitter in ISM-915 MHz Band for Pico-IoT Applications

2021 ◽  
Author(s):  
Kai Tang ◽  
Chuanshi Yang ◽  
Zhongyuan Fang ◽  
Wensong Wang ◽  
Nan Wang ◽  
...  
Keyword(s):  
Low Power ◽  
Ultra Low Power ◽  
Iot Applications ◽  
Power Mems

A Residual Phase Noise Compensation Method for IEEE 802.15.4 Compliant Dual-Mode Receiver for Diverse Low Power IoT Applications

2019 ◽  
Vol 6 (2) ◽  
pp. 3437-3447 ◽  
Author(s):  
Abdullah Zubair Mohammed ◽  
Ajay Kumar Nain ◽  
Jagadish Bandaru ◽  
Ajay Kumar ◽  
D. Santhosh Reddy ◽  
...  
Keyword(s):  
Low Power ◽  
Phase Noise ◽  
Ieee 802.15.4 ◽  
Compensation Method ◽  
Dual Mode ◽  
Noise Compensation ◽  
Iot Applications ◽  
Residual Phase

A low power temperature sensor for IOT applications in CMOS 65nm technology

2017 ◽  
Author(s):  
Nicola Garulli ◽  
Andrea Boni ◽  
Michele Caselli ◽  
Alessandro Magnanini ◽  
Matteo Tonelli
Keyword(s):  
Low Power ◽  
Temperature Sensor ◽  
Iot Applications

Low-power 10-bit SAR ADC using class-AB type amplifier for IoT applications

2017 ◽  
Author(s):  
Khuram Shehzad ◽  
Hye-Young Kang ◽  
Deeksha Verma ◽  
Young Jun Park ◽  
Kang-Yoon Lee
Keyword(s):  
Low Power ◽  
Sar Adc ◽  
Class Ab ◽  
Iot Applications

NB-IoT for Localization and Target Detection

2021 ◽  
pp. 105-126
Author(s):  
Anjali Anjali
Keyword(s):  
Low Power ◽  
Unit Cost ◽  
Current Status ◽  
Area Network ◽  
Positioning System ◽  
Satellite Systems ◽  
Iot Applications ◽  
Main Challenge ◽  
Outdoor Environments ◽  
Radio Management

Narrowband internet of things (NB-IoT) is a low power wide area network technology with numerous benefits over conventional technologies. The main advantages of NB-IoT are low-power, low-cost, long battery life, wider deployment, and many more. Along with these advantages, knowledge of the location of the devices for both the indoor and outdoor environments will have an added benefit for NB-IoT applications. The current global navigation satellite systems (GNSS) chipsets will drain the limited available battery and will not be useful for localization in NB-IoT applications while the global positioning system (GPS) applications accuracy is not enough to support NB-IoT applications. For NB-IoT implementation, having low per-unit cost of the devices is an important aspect along with other features mentioned earlier, and hence there is a need to have limited hardware components like processor, battery, and memory. Therefore, the main challenge for enabling a positioning system lies in the proper radio management and balancing of power consumption against the performance of the system. In this chapter, different localization methods, techniques, and metrics are discussed. The choice of each one of these depends on the application requirement. The standardization of NB-IoT is in the process and its current status as per the 3rd Generation Partnership Project (3GPP) specifications are also highlighted.

scholarly journals Energy and Spectrally Efficient Modulation Scheme for IoT Applications

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4382 ◽  
Author(s):  
Hany Hussein ◽  
Mohamed Elsayed ◽  
Mahmoud Fakhry ◽  
Usama Sayed Mohamed
Keyword(s):  
Low Power ◽  
Closed Form ◽  
Fading Channels ◽  
Low Cost ◽  
Superior Performance ◽  
Closed Form Expression ◽  
Modulation Scheme ◽  
Power Budget ◽  
Iot Applications ◽  
Phy Layer

Due to the Internet of Things (IoT) requirements for a high-density network with low-cost and low-power physical (PHY) layer design, the low-power budget transceiver systems have drawn momentous attention lately owing to their superior performance enhancement in both energy efficiency and hardware complexity reduction. As the power budget of the classical transceivers is envisioned by using inefficient linear power amplifiers (PAs) at the transmitter (TX) side and by applying high-resolution analog to digital converters (ADCs) at the receiver (RX) side, the transceiver architectures with low-cost PHY layer design (i.e., nonlinear PA at the TX and one-bit ADC at the RX) are mandated to cope with the vast IoT applications. Therefore, in this paper, we propose the orthogonal shaping pulses minimum shift keying (OSP-MSK) as a multiple-input multiple-output (MIMO) modulation/demodulation scheme in order to design the low-cost transceiver architectures associated with the IoT devices. The OSP-MSK fulfills a low-power budget by using constant envelope modulation (CEM) techniques at the TX side, and by applying a low-resolution one-bit ADC at the RX side. Furthermore, the OSP-MSK provides a higher spectral efficiency compared to the recently introduced MIMO-CEM with the one-bit ADC. In this context, the orthogonality between the in-phase and quadrature-phase components of the OSP are exploited to increase the number of transmitted bits per symbol (bps) without the need for extra bandwidth. The performance of the proposed scheme is investigated analytically and via Monte Carlo simulations. For the mathematical analysis, we derive closed-form expressions for assessing the average bit error rate (ABER) performance of the OSP-MSK modulation in conjunction with Rayleigh and Nakagami-m fading channels. Moreover, a closed-form expression for evaluating the power spectral density (PSD) of the proposed scheme is obtained as well. The simulation results corroborate the potency of the conducted analysis by revealing a high consistency with the obtained analytical formulas.

A Pressure Sensing System with ±0.75 mmHg (3σ) Inaccuracy for Battery-Powered Low Power IoT Applications

2020 ◽  
Author(s):  
Seokhyeon Jeong ◽  
Yejoong Kim ◽  
Gyouho Kim ◽  
David Blaauw
Keyword(s):  
Low Power ◽  
Pressure Sensing ◽  
Iot Applications ◽  
Sensing System

scholarly journals Level Converters for Ultra Low Power IoT Applications

2018 ◽  
Vol 7 (2.16) ◽  
pp. 19
Author(s):  
T Yugendra Chary ◽  
S Anitha ◽  
M Alamillo ◽  
Ameet Chavan
Keyword(s):  
Energy Efficiency ◽  
Low Power ◽  
Slight Reduction ◽  
Dramatic Improvement ◽  
Modest Improvement ◽  
Ultra Low Power ◽  
Iot Applications ◽  
Communication Devices ◽  
And Performance ◽  
Level Converter

For efficient ultra-low power IoT applications, working with various communication devices and sensors which operating voltages  from subthreshold to superthreshold levels which requires wide variety of robust level converters for signal interfacing with low power dissipation. This paper proposes two topologies of level converter circuits that offer dramatic improvement in power and performance when compared to the existing level converters that shift signals from sub to super threshold levels for IoT applications. At 250 mV, the first proposed circuit - a modification of a tradition al current mirror level converter - offers the best energy efficiency with approximately seven times less energy consumption per operation than the existing design, but suffers from a slight reduction in performance.  However, a second proposed circuit - based on a two-stage level converter - at the same voltage enhances performance by several orders of magnitude while still maintaining a modest improvement in energy efficiency.  The Energy Delay Products (EDP) of the two proposed designs are equivalent and are approximately four times better than the best existing design.  Consequently, the two circuit options either optimizes power or performance with improved overall EDP.  

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