An electro-magnetic energy harvester with 190nW idle mode power consumption for wireless sensor nodes

2010 ◽  
Author(s):  
Hannes Reinisch ◽  
Stefan Gruber ◽  
Martin Wiessflecker ◽  
Hartwig Unterassinger ◽  
Gunter Hofer ◽  
...  
Keyword(s):  
Power Consumption ◽  
Energy Harvester ◽  
Magnetic Energy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Nodes ◽  
Idle Mode ◽  
Electro Magnetic

An Electro-Magnetic Energy Harvesting System With 190 nW Idle Mode Power Consumption for a BAW Based Wireless Sensor Node

2011 ◽  
Vol 46 (7) ◽  
pp. 1728-1741 ◽  
Author(s):  
Hannes Reinisch ◽  
Stefan Gruber ◽  
Hartwig Unterassinger ◽  
Martin Wiessflecker ◽  
Günter Hofer ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Power Consumption ◽  
Sensor Node ◽  
Magnetic Energy ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Idle Mode ◽  
Energy Harvesting System ◽  
Electro Magnetic

scholarly journals Non Volatile Low Power Wake up Radio Transceiver for Wireless Sensor Network

2019 ◽  
Vol 8 (9S) ◽  
pp. 687-691
Keyword(s):  
Power Consumption ◽  
Power Saving ◽  
False Alarm Probability ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Active Listening ◽  
Wireless Sensor Nodes ◽  
Idle Mode ◽  
Proposed Model ◽  
Radio Transceiver

Wireless sensor nodes consume lots of energy during communication but huge power consumption has been observed during active listening in idle mode as source nodes can start data transmission at any time. Power saving can be achieved by establishing synchronization among end nodes. Many rendezvous solutions are available and out of which wake up receiver found extremely adroit. A non volatile wake up transceiver has been proposed in the present paper that works on the basis of ID matching. State of art using 4GB of memory to remember states of sensor nodes while proposed technique used only 60 bits of memory with very less false alarm probability. Power consumption for proposed model is only 59.47 nW. Hence this model is quite effective in terms of power consumption and memory usage as compared to trailing models.

Optimizing Power Consumption for the Wireless Sensor Node

2015 ◽  
Vol 738-739 ◽  
pp. 107-110
Author(s):  
Hui Lin
Keyword(s):  
Power Consumption ◽  
Radio Frequency ◽  
Power Saving ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Cycle Times ◽  
Current Consumption ◽  
Saving Effect

A Wireless Sensor Network is composed of sensor nodes powered by batteries. Thus, power consumption is the major challenge. In spite of so many research works discussing this issue from the aspects of network optimization and system design, so far not so many focus on optimizing power consumption of the Radio Frequency device, which consumes most of the energy. This paper describes the digital features of the Radio Frequency device used to optimize current consumption, and presents a practical approach to measure current consumption in static and dynamic scenarios in details, by which we evaluates the power saving effect. The results demonstrated that according to cycle times and application characteristics choosing appropriate features can prolong the lifetime of wireless sensor nodes.

Hybrid resonant energy harvester integrating ZnO NWs with MEMS for enabling zero-power wireless sensor nodes

2011 ◽  
Vol 2 (4) ◽  
pp. 235-241 ◽  
Author(s):  
Gonzalo Murillo ◽  
Minbaek Lee ◽  
Chen Xu ◽  
Gabriel Abadal ◽  
Zhong Lin Wang
Keyword(s):  
Energy Harvester ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Nodes ◽  
Resonant Energy

Toward the World Smallest Wireless Sensor Nodes With Ultralow Power Consumption

2014 ◽  
Vol 14 (6) ◽  
pp. 2035-2041 ◽  
Author(s):  
Jian Lu ◽  
Hironao Okada ◽  
Toshihiro Itoh ◽  
Takeshi Harada ◽  
Ryutaro Maeda
Keyword(s):  
Power Consumption ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Nodes ◽  
The World ◽  
Ultralow Power
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