Predictive power management in a wireless sensor network
First Claim
1. An apparatus comprising:
- a power source configured to store energy to power said apparatus;
one or more sensors configured to receive captured data from one of a plurality of sources;
a transceiver configured to send and receive data to and from a wireless network;
a processor configured to execute computer readable instructions; and
a memory configured to store a set of instructions executable by the processor, said instructions, where executed, are configured to (A) evaluate an expected power usage budget calculated using a predictive model of future energy consumption and (B) (i) store said captured data in the memory in a first mode and (ii) transmit the captured data to a remote storage device in a second mode, wherein (a) said first mode or said second mode is selected based on characteristics of the captured data received from the sensors, (b) said instructions include a machine learning process configured to optimize a predictive model and (c) said predictive model is configured as (i) a series of energy input functions, (ii) one or more energy consumption functions with scaling factors that are optimized based on historical data based on prior patterns and (iii) a least squares minimization of a difference between model predictions and actual historical data or various gradient descent techniques.
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Abstract
An apparatus comprising a power source, one or more sensors, a transceiver, and a memory. The power source may be configured to store energy to power the apparatus. The one or more sensors may be configured to receive captured data from one of a plurality of sources. The transceiver may be configured to send and receive data to and from a wireless network. The processor may be configured to execute computer readable instructions. The memory may be configured to store a set of instructions executable by the processor. The instructions may be configured to (A) evaluate an expected power usage budget calculated using a predictive model of future energy consumption and (B) (i) store the captured data in the memory in a first mode and (ii) transmit the captured data to a remote storage device in a second mode. The first mode or the second mode is selected based on characteristics of the captured data received from the sensors.
189 Citations
19 Claims
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1. An apparatus comprising:
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a power source configured to store energy to power said apparatus; one or more sensors configured to receive captured data from one of a plurality of sources; a transceiver configured to send and receive data to and from a wireless network; a processor configured to execute computer readable instructions; and a memory configured to store a set of instructions executable by the processor, said instructions, where executed, are configured to (A) evaluate an expected power usage budget calculated using a predictive model of future energy consumption and (B) (i) store said captured data in the memory in a first mode and (ii) transmit the captured data to a remote storage device in a second mode, wherein (a) said first mode or said second mode is selected based on characteristics of the captured data received from the sensors, (b) said instructions include a machine learning process configured to optimize a predictive model and (c) said predictive model is configured as (i) a series of energy input functions, (ii) one or more energy consumption functions with scaling factors that are optimized based on historical data based on prior patterns and (iii) a least squares minimization of a difference between model predictions and actual historical data or various gradient descent techniques. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. An apparatus comprising:
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a power source configured to store energy to power said apparatus; one or more sensors configured to receive captured data from one of a plurality of sources; a transceiver configured to send and receive data to and from a wireless network; a processor configured to execute computer readable instructions; and a memory configured to store a set of instructions executable by the processor, said instructions, where executed, are configured to (A) evaluate an expected power usage budget calculated using a predictive model of future energy consumption and (B) (i) store said captured data in the memory in a first mode and (ii) transmit the captured data to a remote storage device in a second mode, wherein (i) said first mode or said second mode is selected based on characteristics of the captured data received from the sensors, (ii) in order to adapt to a duty cycle, sampling rates, adaptive and conditional powering, data storage policies and data transmission policies of said sensors, (a) each energy use by the apparatus is characterized as an energy cost function and (b) each data captured is characterized as a utility or benefit function, (iii) the adaptive and conditional powering of additional sensors is determined based on a set of initial sensor readings and (iv) energy harvesting is a negative cost or energy contribution in the predictive model.
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Specification