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.

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.