Energy efficient continuous sensing for communications devices

• US 8,706,172 B2
• Filed: 10/26/2010
• Issued: 04/22/2014
• Est. Priority Date: 10/26/2010
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Priyantha, Nissanka Arachchige Bodhi, Liu, Jie, Lymperopoulos, Dimitrios
• Primary Examiner(s): Wendell, Andrew
• Assistant Examiner(s): TRANDAI, CINDY HUYEN
• Application Number:
  US12/912,456
• Publication Number:
  US 20120100895A1
• Time in Patent Office: 1,274 Days
• Field of Search: 455/343.1, 455/343.2, 455/343.4, 455/574, 455/127.5, 455/234.1, 455/522, 455/456.3, 455/69, 455/78, 270/241, 270/254, 713/100, 713/332, 713/323, 713/1, 715/300
• US Class Current: 455/574
• CPC Class Codes: G06F 1/3293 by switching to a less power-consuming processor, e.g. sub-CPU
• CPC Class Codes: H04W 52/0293 having a sub-controller with a low clock frequency switching on and off a main controller with a high clock frequency
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

A “Communication Device with Energy Efficient Sensing” provides various techniques for enabling a variety of sensor-based applications and processes while conserving energy on mobile communications devices. More specifically, the Communication Device with Energy Efficient Sensing provides a novel sensing architecture for mobile communications devices where sampling and, in various embodiments, processing, of sensor data received from one or more sensors is offloaded to a dedicated low-power processor having the capability to interact with a primary processor of the communications device. Such sensors include, but are not limited to accelerometers, ambient light sensors, compasses, microphones, pressure sensors, touch sensors, low-power radio devices, etc. This approach enables the communications device to perform continuous sensing with a low power overhead. In various tested embodiments, it has been observed that that the sensing architecture described herein can be two to three orders of magnitude more energy efficient in comparison to conventional communications devices.

Claims

1. A system for conserving energy in a mobile communications device, comprising:

a mobile communications device;

a low-power processor integral to the mobile communications device that is coupled to a primary processor of the mobile communications device via one or more data channels;

a plurality of sensors switchably coupled to the low-power processor and the primary processor to directly interface the sensors with either the low-power processor or the primary processor based on the switching of the sensors;

wherein the low-power processor receives and processes inputs from one or more of the sensors via one or more data channels while the mobile communications device is in a low-power state; and

wherein the low-power processor stores inputs received from the one or more sensors in a memory device that is accessible to the primary processor of the mobile communications device via one or more data channels when the mobile communications device is not in a low-power state.

2. The system of claim 1 wherein a software callback API between the low-power processor and the primary processor of the mobile communications device is used to detect programmable sensor data thresholds and conditions.

3. The system of claim 2 wherein the low-power processor initiates a transition of the primary processor of the mobile communications device to a high-power condition upon detection of one or more specific sensor data thresholds and conditions within the inputs received by the low-power processor from one or more of the sensors.

4. The system of claim 1 wherein an operating system (OS) of the mobile communications device runs on the primary processor of the mobile communications device.

5. The system of claim 1 wherein the low-power state of the mobile communications device is an “

off”

condition.

6. The system of claim 1 wherein the low-power state of the mobile communications device is a “

sleep mode”

condition.

7. The system of claim 1 wherein one or more configurable software routines for configuring buffering and processing of sensor data inside the low-power processor run on the low-power processor to control the inputs from one or more of the sensors to the low-power processor.

8. The system of claim 1 wherein one or more configurable software routines for managing efficient sharing of sensor data across applications runs on the primary processor of the mobile communications device when the mobile communications device is not in the low-power state.

9. The system of claim 1 wherein the mobile communications device includes an automated ring tone adjustment application that adjusts a current ring tone of the mobile communications device based on inputs received from a microphone sensor coupled to the low-power processor while the mobile communications device is in the low-power state.

10. A method for reducing energy usage in a mobile communications device, comprising steps for:

coupling a low-power processor to a primary processor of a mobile communications device, wherein the low-power processor continues to operate while the primary processor is in a sleep state;

switchably coupling a plurality of sensors to the low-power processor and the primary processor to directly interface the sensors with either the low-power processor or the primary processor based on the switching of the sensors;

wherein one or more of the sensors provide inputs to the low-power processor while the primary processor is in the sleep state; and

wherein the low-power processor stores the inputs received from the one or more sensors in a memory device that is accessible to the primary processor and one or more applications running on an operating system (OS) layer running on the primary processor when the primary processor of the mobile communications device is not in a sleep state.

11. The method of claim 10 further comprising steps for implementing a software stack, split between the OS layer running on the primary processor and the low-power processor to provide software features including:

call backs, configurable processing and buffering elements, and efficient sharing of sensor data among applications.

12. The method of claim 10 further comprising steps for implementing a software callback API between the low-power processor and the primary processor of the mobile communications device for detecting programmable sensor data thresholds and conditions.

13. The method of claim 12 further comprising steps for using the low-power processor to initiate a transition of the primary processor to a wake state upon detection of one or more specific sensor data thresholds and conditions.

14. The method of claim 10 further comprising steps for implementing one or more configurable software routines for configurable buffering and processing of sensor data inside the low-power processor to control handling of the inputs from the one or more sensors.

15. The method of claim 10 further comprising steps for implementing one or more configurable software routines for managing efficient sharing of sensor data across applications runs on the primary processor when the mobile communications device is in a wake state.

16. A mobile phone having reduced energy usage during continuous sensing operations, comprising:

a low-power processor coupled to a primary processor of the mobile phone via one or more data channels;

a plurality of sensors switchably coupled to the low-power processor and the primary processor to directly interface the sensors with either the low-power processor or the primary processor based on the switching of the sensors;

power control circuitry coupled to the first and second power supplies and electronic components of the mobile phone for placing the primary processor into a low-power state while allowing the low-power processor to receive inputs from one or more of the sensors; and

wherein the low-power processor stores inputs received from the one or more sensors to a memory device that is accessible to the primary processor when the mobile phone is in a wake state.

17. The mobile phone of claim 16 wherein a software callback API between the low-power processor and the primary processor is used to detect programmable sensor data thresholds and conditions.

18. The mobile phone of claim 16 wherein the low-power processor initiates a transition of the primary processor to a wake state upon detection by the low-power processor of one or more specific sensor data thresholds and conditions.

19. The mobile phone of claim 16 wherein an operating system (OS) layer runs on the primary processor of the mobile phone when the mobile phone is in a wake state.

20. The mobile phone of claim 16 further comprising a software stack, split between the OS layer running on the primary processor and the low-power processor to provide software features including:

call backs, configurable processing and buffering elements, and efficient sharing of sensor data among applications.