Metal decorated graphyne and its boron nitride analog as versatile materials for energy storage: Providing reference for the Lithium-ion battery of wireless sensor nodes

2016 ◽  
Vol 41 (39) ◽  
pp. 17471-17483 ◽  
Author(s):  
Lihong Zhang ◽  
Huarui Wu
Keyword(s):  
Energy Storage ◽  
Boron Nitride ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Nodes

scholarly journals Operating Wireless Sensor Nodes without Energy Storage: Experimental Results with Transient Computing

Electronics ◽  
2016 ◽  
Vol 5 (4) ◽  
pp. 89 ◽  
Author(s):  
Faisal Ahmed ◽  
Tauseef Ahmed ◽  
Yar Muhammad ◽  
Yannick Le Moullec ◽  
Paul Annus
Keyword(s):  
Energy Storage ◽  
Experimental Results ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Nodes

scholarly journals Energy Income Estimation for Solar Cell Powered Wireless Sensor Nodes

Proceedings ◽  
2019 ◽  
Vol 2 (13) ◽  
pp. 1514 ◽  
Author(s):  
Philipp Mehne ◽  
Dominik Leclerc ◽  
Peter Woias
Keyword(s):  
Solar Cell ◽  
Energy Storage ◽  
Light Intensity ◽  
Power Management ◽  
Sensor Node ◽  
Current Flow ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Nodes ◽  
Energy Prediction

Solar cells are one common choice to power energy-autonomous wireless sensor nodes (WSNs). There are different approaches to improve their service and reliability via solar energy prediction algorithms, to allow the WSN to “know” about the future energy income All these algorithms require information on the energy income of the sensor node obtained e.g., via separate measurements of light intensity or via monitoring the current flow to the WSNs energy storage. Here, we present a method to determine the energy income via temporarily switching the PV cell’s input current to a capacitor for determining the energy income by the accumulated charge. The data are compared to measurements with a pyranometer. This system provides advantages with respect to the consideration of the multiple different losses in the WSNs power management.

An Energy-Saving Data Statistics-Driven Management Technique for Bio-Powered Indoor Wireless Sensor Nodes

2021 ◽  
pp. 1-1
Author(s):  
Alejandro Castillo-Atoche ◽  
J. Vazquez-Castillo ◽  
E. Osorio-de-la-Rosa ◽  
J. Heredia-Lozano ◽  
Jaime Aviles Vinas ◽  
...  
Keyword(s):  
Energy Saving ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Management Technique ◽  
Wireless Sensor Nodes ◽  
Indoor Wireless ◽  
Data Statistics

Location-based Trustworthiness of Wireless Sensor Nodes using Optical Localization

2020 ◽  
Author(s):  
Leander B. Hormann ◽  
Markus Pichler-Scheder ◽  
Christian Kastl ◽  
Hans-Peter Bernhard ◽  
Peter Priller ◽  
...  
Keyword(s):  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Nodes
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