Aves: A Decision Engine for Energy-efficient Stream Analytics across Low-power Devices

2019 ◽  
Author(s):  
Roshan Bharath Das ◽  
Marc X. Makkes ◽  
Alexandru Uta ◽  
Lin Wang ◽  
Henri Bal
Keyword(s):  
Low Power ◽  
Energy Efficient ◽  
Power Devices ◽  
Stream Analytics ◽  
Decision Engine

An Energy-Efficient Optimization Based Scheme for Low Power Devices in Wireless Body Area Networks

2019 ◽  
Vol 16 (7) ◽  
pp. 2934-2940 ◽  
Author(s):  
Dalal Abdulmohsin Hammood ◽  
Hasliza A. Rahim ◽  
Ahmed Alkhayyat ◽  
R. Badlishah Ahmad ◽  
M. Abdulmalek ◽  
...  
Keyword(s):  
Low Power ◽  
Energy Efficient ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Power Devices ◽  
Body Area

scholarly journals Low Power and Energy Efficient Street Light System Using IoT

2021 ◽  
Vol 1084 (1) ◽  
pp. 012120
Author(s):  
M Srinivasan ◽  
P Manojkumar ◽  
A Dheepancharavarthy
Keyword(s):  
Low Power ◽  
Energy Efficient ◽  
Light System ◽  
Power And Energy

scholarly journals Energy Efficiency in Short and Wide-Area IoT Technologies—A Survey

Technologies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 22
Author(s):  
Eljona Zanaj ◽  
Giuseppe Caso ◽  
Luca De Nardis ◽  
Alireza Mohammadpour ◽  
Özgü Alay ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Low Power ◽  
Energy Efficient ◽  
Wide Area ◽  
Wide Area Networks ◽  
The Internet ◽  
Extensive Review ◽  
Research Directions ◽  
The Internet Of Things

In the last years, the Internet of Things (IoT) has emerged as a key application context in the design and evolution of technologies in the transition toward a 5G ecosystem. More and more IoT technologies have entered the market and represent important enablers in the deployment of networks of interconnected devices. As network and spatial device densities grow, energy efficiency and consumption are becoming an important aspect in analyzing the performance and suitability of different technologies. In this framework, this survey presents an extensive review of IoT technologies, including both Low-Power Short-Area Networks (LPSANs) and Low-Power Wide-Area Networks (LPWANs), from the perspective of energy efficiency and power consumption. Existing consumption models and energy efficiency mechanisms are categorized, analyzed and discussed, in order to highlight the main trends proposed in literature and standards toward achieving energy-efficient IoT networks. Current limitations and open challenges are also discussed, aiming at highlighting new possible research directions.

Energy Efficient VLSI Based DCT Architecture with Accurate Error Compensation

2014 ◽  
Vol 626 ◽  
pp. 127-135 ◽  
Author(s):  
D. Jessintha ◽  
M. Kannan ◽  
P.L. Srinivasan
Keyword(s):  
Low Power ◽  
Energy Efficient ◽  
Time Complexity ◽  
High Performance ◽  
Low Power Consumption ◽  
Distributed Arithmetic ◽  
Technology Scaling ◽  
Truncation Errors ◽  
History Of ◽  
Technology Dependency

Discrete Cosine Transform (DCT) is commonly used in image compression. In the history of DCT, a milestone was the Distributed Arithmetic (DA) technique. Due to the technology dependency a multiplier-less computation was built with DA based technique. It occupied less area but the throughput is less. Later, due to the technology scaling, multiplier based architectures can be easily adapted for low-power and high-performance architecture. Fixed width multipliers [1]-[7] reduces hardware and time complexity. In this work, Radix 4 fixed width multiplier is adapted with DCT architecture due to low power consumption and saves 30% power. In order to reduce truncation errors caused during fixed width multiplication, an estimation circuit is designed based on conditional probability theory.

scholarly journals DESIGN OF RF ENERGY HARVESTING SYSTEM FOR ENERGIZING LOW POWER DEVICES

2012 ◽  
Vol 132 ◽  
pp. 49-69 ◽  
Author(s):  
Norashidah Md. Din ◽  
Chandan Kumar Chakrabarty ◽  
Aima Bin Ismail ◽  
Kavuri Kasi Annapurna Devi ◽  
Wan-Yu Chen
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Power Devices ◽  
Rf Energy Harvesting ◽  
Energy Harvesting System ◽  
Rf Energy

Asynchronous DSP for low-power energy-efficient embedded systems

2011 ◽  
Vol 35 (3) ◽  
pp. 318-328 ◽  
Author(s):  
Yiqiong Shi ◽  
Bah-Hwee Gwee ◽  
Joseph Chang
Keyword(s):  
Embedded Systems ◽  
Low Power ◽  
Energy Efficient
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