New chip incorporating ultra-low consumption

New chip consumes 50 million times less than a conventional light bulb:

New chip consumes 50 million times less than a conventional light bulb:

New chip consumes 50 million times less than a conventional light bulb:

 

 

Low consumption means the device can be powered by reducing energy collected from the environment ( light, vibrations , temperature variations , etc. . ) Thus, energy independence is achieved , as no batteries are required for operation .

The research , authored by Antonio López- Martín and Iñigo Cenoz -Villanueva , was awarded the prize for the best presentation at the 7th International Conference on Sensor Technology (ICTS ) . This is a major international forum in the field of sensor technology and applications; 188 works from 38 countries were submitted in this latest edition.

The winning paper was the result of the thesis project of telecommunication engineering student Cenoz – Iñigo Villanueva. His project was supervised by Antonio Lopez – Martin, Professor, Department of Electrical and Electronic Engineering and Deputy Director of the School of Industrial Engineering and Telecommunications .

Wireless sensor networks are the main application of the developed device. These networks are composed of two main elements: the sensor nodes that detect the parameters of the individual or the surroundings (temperature , humidity , heart rate , presence, etc. ) , and the actuators that trigger actions ( to switch devices on or outside , through the generation of neurological stimuli, etc. . ) Sensors and actuators communicate with each other and with other networks such as the Internet via radio waves without wires. It is the technology that in recent years it has boomed because of its many applications .

This research group Communications and Microwave Signal NUP / UPNA ‘ s was recognized again in 2012 to mark the 12th Talgo Award for Technological Innovation . On that occasion the winning project was aimed at providing an ecosystem of railroad with intelligence through wireless sensor networks for ultra low power consumption whenever possible driven by the available environmental energy in railway wagons themselves.

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