Connected device adapted to measure at least a physical quantity

1. A connected device comprising at least one sensor adapted to measure at least a physical quantity and to report a measure of this physical quantity to a remote device, the at least one sensor system providing an output Z which is then digitized in order to provide an output signal Y comprising a first and a second component, the first component being representative of the measured physical quantity X and the second component being representative of the structural noise R introduced by the at least one sensor, wherein the connected device also comprises a noise generator configured to:

generate, using as an input at least one parameter descriptive of the structural noise R, a blurring noise V which is uncorrelated with said structural noise R;

combine the digital output signal Y with the blurring noise V in order to generate a signal Y′;

transmit signal Y′ to the remote device.

2. The connected device according to claim 1 , wherein the blurring noise V is generated in order to have the same order of magnitude as the structural noise R.

3. The connected device according to claim 1 , wherein the at least one parameter descriptive of the structural noise R is determined by measuring signal Y when the connected device is put into artificial conditions in which the physical quantity X remains constant over time.

4. The connected device according to claim 3 , wherein the measurements of the Y signal for determining the at least one parameter descriptive of the structural noise R is carried out using variable conditions, such as variable voltage conditions or variable temperature conditions.

5. The connected device according to claim 4 , wherein a distribution law of the structural noise R is estimated using a Monte-Carlo method applied on signal Y generated when the connected device is put into artificial conditions, said estimated distribution law being used as a parameter for generating the blurring noise V.

6. The connected device according to claim 5 , wherein the minimum r_min and maximum r_max values of R are determined by collecting instances of Y when the connected device is put into said artificial conditions, r_min and r_max being used as parameters to generate the blurring noise V.

7. The connected device according to claim 6 , wherein the blurring noise V is generated using a Gaussian distribution with r_min and r_max being used as parameters to derive the mean and the standard deviation of said Gaussian distribution.

8. The connected device according to claim 6 , wherein the blurring noise V is generated using a Gaussian distribution with r_min and r_max being used as parameters to derive the mean and the standard deviation of said Gaussian distribution.

9. The connected device according to claim 4 , wherein the minimum r_min and maximum r_max values of R are determined by collecting instances of Y when the connected device is put into said artificial conditions, r_min and r_max being used as parameters to generate the blurring noise V.

10. The connected device according to claim 9 , wherein the blurring noise V is generated using a Gaussian distribution with r_min and r_max being used as parameters to derive the mean and the standard deviation of said Gaussian distribution.

11. The connected device according to claim 9 , wherein the blurring noise V is generated using a Gaussian distribution with r_min and r_max being used as parameters to derive the mean and the standard deviation of said Gaussian distribution.

12. The connected device according to claim 9 , wherein the blurring noise V is generated using a uniform distribution with r_min and r_max being used as V lower and upper boundaries.

13. The connected device according to claim 3 , wherein a distribution law of the structural noise R is estimated using a Monte-Carlo method applied on signal Y generated when the connected device is put into artificial conditions, said estimated distribution law being used as a parameter for generating the blurring noise V.

14. The connected device according to claim 13 , wherein the minimum r_min and maximum r_max values of R are determined by collecting instances of Y when the connected device is put into said artificial conditions, r_min and r_max being used as parameters to generate the blurring noise V.

15. The connected device according to claim 14 , wherein the blurring noise V is generated using a Gaussian distribution with r_min and r_max being used as parameters to derive the mean and the standard deviation of said Gaussian distribution.

16. The connected device according to claim 14 , wherein the blurring noise V is generated using a Gaussian distribution with r_min and r_max being used as parameters to derive the mean and the standard deviation of said Gaussian distribution.

17. The connected device according to claim 3 , wherein the minimum r_min and maximum r_max values of R are determined by collecting instances of Y when the connected device is put into said artificial conditions, r_min and r_max being used as parameters to generate the blurring noise V.

18. The connected device according to claim 17 , wherein the blurring noise V is generated using a Gaussian distribution with r_min and r_max being used as parameters to derive the mean and the standard deviation of said Gaussian distribution.

19. The connected device according to claim 17 , wherein the blurring noise V is generated using a uniform distribution with r_min and r_max being used as V lower and upper boundaries.

20. The connected device according to claim 1 , wherein the at least one sensor is implemented using CMOS technology.