Title :
Sampling circuits for 1D and 2D sensors for low-power purpose
Author :
Fesquet, Laurent ; Darwish, Amani ; Sicard, Gilles
Author_Institution :
TIMA, Univ. Grenoble Alpes, Grenoble, France
Abstract :
Sampling is becoming one of the most important topics for the Internet of Things (IoT). Indeed, the amount of data daily produced is so huge that the data processing cost will deeply affect the electricity generation in a near future. The big data is already a reality but a good way to mitigate this incredible data flow is to differently sample the information. This article presents - based on asynchronous analog-to-digital conversion - a way to limit the data flow and the power consumption for a host of sensors. By an adequate sampling technique, such as a level-crossing sampling scheme, a drastic activity and power reduction is feasible. An image sensor using 1-level crossing sampling is given as an illustration.
Keywords :
analogue-digital conversion; asynchronous sequential logic; image sampling; image sensors; power consumption; 1-level crossing sampling; 2D sensors; Internet of Things; IoT; asynchronous analog-to-digital conversion; big data; data flow; data processing cost; electricity generation; image sensor; level-crossing sampling scheme; power consumption; power reduction; sampling technique; Analog-digital conversion; Image sensors; Power demand; Quantization (signal); Redundancy; Sensors; Signal to noise ratio; Analog-to-Digital converters; Level Crossing Sampling Scheme; Sampling Circuits; asynchronous logic; energy; power consumption;
Conference_Titel :
Sampling Theory and Applications (SampTA), 2015 International Conference on
Conference_Location :
Washington, DC
DOI :
10.1109/SAMPTA.2015.7148927