scholarly journals Conditioning Optimal Structure Electronics for Piezo-devices

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Energy Harvesting ◽  
Optimal Condition ◽  
Electric Energy ◽  
Optimal Solution ◽  
Optimal Structure ◽  
Optimal Energy ◽  
Conditioning Circuit ◽  
Electronic Design ◽  
Piezo Electric

In this paper, an optimal condition- ing electronics conguration is derived for piezo- electric energy harvesting. Unlike conventional studies where optimal energy(power) is extracted from a given piezo-conditioning circuit, this re- search focuses on the determination of the supre- mum: the optimal conguration extracting the biggest possible amount of energy (power) to the load. Along with the electronic design guided by the optimal solution (Pontryaing's principle), LT- Spice simulations are compared side by side with a pre-specied conguration using an LDO pub- lished previously by the authors.

Optimal Energy-Delay Scheduling using Improved Beetle Antennae Search (BAS) for Energy-Harvesting WSNs

2021 ◽  
Author(s):  
Battina Srinuvasu Ku ◽  
S.G. Santhi ◽  
S. Narayana
Keyword(s):  
Energy Harvesting ◽  
Network Design ◽  
Wireless Network ◽  
Optimal Solution ◽  
Capacity Allocation ◽  
Approximation Technique ◽  
Time Interval ◽  
Optimal Energy ◽  
Wireless Network Design ◽  
Complex Optimization

Abstract Optimal energy delay scheduling for capacity allocation issues on interference chan- nel energy harvesting wireless sensor networks (EH-WSN) addresses for static data streams and energy topography. To create the optimizations issue of unique and multi-time interval corre- spondingly. The goal is for reducing overall regression of the network. Though, the optimization issue is not convex, creating it hard to get an optimal solution. The main objective of this manuscript is directly addressing the original non-convex formulation using the enhanced Beetle Antennae Search (BAS) algorithm that efficiently finds the optimal solution. This algorithm is also better for another complex optimization issues on wireless network design. The simulations under delay, delratio, drop, energy, network lifetime, overhead and throughput are carried; the expected outcome displays that improved BAS algorithm executes considerably better than the convex approximation technique. This idea is useful for other complex optimization issues on wireless network design.

Next-generation rooftop tribo–piezo electric energy harvesting from rain power

2019 ◽  
Vol 10 (3) ◽  
pp. 679-686 ◽  
Author(s):  
Sreenidhi Prabha Rajeev ◽  
Shajimon K. John ◽  
Riboy Cherian ◽  
Subash Cherumannil Karumuthil ◽  
Soney Varghese
Keyword(s):  
Energy Harvesting ◽  
Electric Energy ◽  
Next Generation ◽  
Piezo Electric

scholarly journals Bias-Flip Technique for Frequency Tuning of Piezo-Electric Energy Harvesting Devices

2013 ◽  
Vol 3 (2) ◽  
pp. 194-214 ◽  
Author(s):  
Jianying Zhao ◽  
Yogesh Ramadass ◽  
Jeffrey Lang ◽  
Jianguo Ma ◽  
Dennis Buss
Keyword(s):  
Energy Harvesting ◽  
Frequency Tuning ◽  
Electric Energy ◽  
Energy Harvesting Devices ◽  
Piezo Electric
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