Invention Grant
- Patent Title: System for recursive calibration of a sensor network
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Application No.: US16888270Application Date: 2020-05-29
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Publication No.: US11251881B2Publication Date: 2022-02-15
- Inventor: Thomas Becnel , Pierre-Emmanuel Gaillardon , Kerry Elizabeth Kelly
- Applicant: UNIVERSITY OF UTAH RESEARCH FOUNDATION
- Applicant Address: US UT Salt Lake City
- Assignee: UNIVERSITY OF UTAH RESEARCH FOUNDATION
- Current Assignee: UNIVERSITY OF UTAH RESEARCH FOUNDATION
- Current Assignee Address: US UT Salt Lake City
- Agency: Workman Nydegger
- Main IPC: G06F15/16
- IPC: G06F15/16 ; H04B17/11 ; H04L67/12 ; H04L67/00 ; H04L41/12

Abstract:
A computer system for recursive calibration of a sensor network receives a first data communication from a first sensor node that is a neighbor to a calibrated sensor node. The computer system then updates a set of linear regressions between the first sensor node and a set of neighboring sensor nodes, which include the neighboring, calibrated sensor node. The computer system calibrates the first sensor node using an average of the set of linear regressions weighted by a correlation. When the first sensor node is calibrated, the computer system uses the calibrated first sensor node in calibration of a neighboring, uncalibrated sensor node. The computer system then gathers, at the first sensor node, a calibrated sensor reading.
Public/Granted literature
- US20210376937A1 SYSTEM FOR RECURSIVE CALIBRATION OF A SENSOR NETWORK Public/Granted day:2021-12-02
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