The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 10149131 B1

PDF
Full Text
Expired
Date of Patent:
Dec. 04, 2018

Filed:

Jan. 24, 2017
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Venkat Natarajan, Bangalore, IN;

Apoorv Vyas, Bangalore, IN;

Kumar Ranganathan, Bangalore, IN;

Jose Joy, Kottayam, IN;

Harshpal Singh, Jalandhar, IN;

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04W 4/70 (2018.01); H04L 29/08 (2006.01); H04W 52/02 (2009.01); H03M 7/30 (2006.01);
U.S. Cl.
CPC ...
H04W 4/70 (2018.02); H04L 67/12 (2013.01); H04W 52/0203 (2013.01); H03M 7/3062 (2013.01);
Abstract

Techniques are provided for compressive sensing (CS) in a sensor network, for improved power efficiency. A methodology implementing the techniques according to an embodiment includes determining a state of a sensor network, based on a calculated statistic of sampled data values generated by one or more sensors in the network, and on anomaly indications generated by the one or more sensors. The method further includes calculating a CS sampling schedule based on the determined state and further based on a sparse signal recovery algorithm. The method further includes broadcasting the CS schedule to the one or more sensors. The CS schedule includes a sensor identification, sampling frequency, and sampling time offset for each sensor to be sampled. The method further includes updating the state of the sensor network and the CS schedule, based on updated data values generated by the one or more sensors in accordance with the sampling schedule.


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