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.

Date of Patent:
Oct. 15, 2019

Filed:

Jul. 11, 2017
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Venkataraman Natarajan, Bangalore, IN;

Apoorv Vyas, Bathinda, IN;

Jaroslaw J. Sydir, San Jose, CA (US);

Kumar Ranganathan, Bangalore, IN;

Assignee:

INTEL CORPORATION, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04W 72/12 (2009.01); H04L 12/24 (2006.01); H04L 29/08 (2006.01); H04W 52/02 (2009.01); H04W 4/38 (2018.01); H04W 84/18 (2009.01); H04W 88/16 (2009.01);
U.S. Cl.
CPC ...
H04W 72/1205 (2013.01); H04L 41/0816 (2013.01); H04L 67/12 (2013.01); H04L 67/32 (2013.01); H04W 4/38 (2018.02); H04W 52/0203 (2013.01); H04W 84/18 (2013.01); H04W 88/16 (2013.01);
Abstract

Techniques disclosed for accurately predicting the occurrence of anomalous sensor readings within a sensor network and advantageously using these predictions to limit the amount of power used by relay nodes within the sensor network. Some examples analyze spatial and temporal characteristics of anomalous sensor readings to predict future occurrences. In these examples, the relay nodes operate in a reduced power mode for periods of time in which anomalous sensor readings are not predicted to occur. Also, in these examples, only relay nodes in a path between a sensor predicting an anomalous reading and a gateway of the sensor network operate in full power mode. This feature allows other relay nodes to remain in the reduced power mode even when an anomalous sensor reading is predicted elsewhere in the sensor network.


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