Wireless device power optimization utilizing artificial intelligence and/or machine learning
AssigneeSchlage Lock Company LLC
InventorsRyan C. Kincaid, Srikanth Venkateswaran, Robert Prostko
Life of this patent
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Abstract
A method of reducing a power consumption of wireless communication circuitry of an edge device according to one embodiment includes determining a delivery traffic indication map (DTIM) interval of a wireless access point communicatively coupled to the edge device via the wireless communication circuitry of the edge device and adjusting a wake-up interval of the wireless communication circuitry of the edge device based on the DTIM interval to reduce the power consumption of the wireless communication circuitry of the edge device.
Claims19
A method of reducing a power consumption of wireless communication circuitry of an edge device, the method comprising:
- determining, by the edge device, a delivery traffic indication map (DTIM) interval of a wireless access point communicatively coupled to the edge device via the wireless communication circuitry of the edge device;
- adjusting, by the edge device, a wake-up interval of the wireless communication circuitry of the edge device based on the DTIM interval to reduce the power consumption of the wireless communication circuitry of the edge device;
- applying, by the edge device, machine learning with one or more inputs associated with acknowledgement data that identifies signal reliability of communications with the wireless access point;
- and
- adjusting, by the edge device and based on the machine learning, a transmit power of the wireless communication circuitry to reduce the power consumption of the wireless communication circuitry of the edge device.
A method of reducing a power consumption of wireless communication circuitry of an edge device configured to communicate with a wireless access point, the method comprising:
- determining, by the edge device, a reduced transmit power of the wireless communication circuitry of the edge device sufficient for reliable communication with the wireless access point, wherein the reduced transmit power is reduced relative to a full transmit power of the wireless communication circuitry of the edge device;
- adjusting, by the edge device, a transmit power of the wireless communication circuitry of the edge device based on the reduced transmit power determined to be sufficient for reliable communication with the wireless access point, wherein adjusting the transmit power of the wireless communication circuitry comprises applying machine learning with one or more inputs associated with acknowledgment data that identifies signal reliability of communications with the wireless access point.
An edge device, comprising:
- a Wi-Fi communication circuitry;
- at least one processor;
- and
- at least one memory comprising a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the edge device to:
- determine a reduced transmit power of the Wi-Fi communication circuitry sufficient for reliable communication with a wireless access point, wherein the reduced transmit power is reduced relative to a full transmit power of the Wi-Fi communication circuitry;
- and
- adjust a transmit power of the Wi-Fi communication circuitry based on the reduced transmit power determined to be sufficient for reliable communication with the wireless access point, wherein to adjust the transmit power of the Wi-Fi communication circuitry comprises to apply machine learning with one or more inputs associated with acknowledgment data that identifies signal reliability of Wi-Fi communications with the wireless access point.
Dependencies are inferred from the claim text.