PREDICTION FOR POWER CONSERVATION IN A MOBILE DEVICE

• US 20140024354A1
• Filed: 07/18/2012
• Published: 01/23/2014
• Est. Priority Date: 07/18/2012
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Haik, Fadi, Ben-Dayan, Adi, Oren, Gilad, Yariv, Eran, Kaplan, Or
• Granted Patent: US 9,442,181 B2
• Time in Patent Office: Days
• US Class Current: 455/418
• CPC Class Codes: G01C 21/20 Instruments for performing navigational calculations G01C21/24, G01C21/26 take precedence
• CPC Class Codes: G01S 5/0018 Transmission from mobile station to base station
• CPC Class Codes: G01S 5/0258 by combining or switching between measurements derived from different systems
• CPC Class Codes: G01S 5/0278 involving statistical or probabilistic considerations G01S5/0252, G01S5/0294 take precedence
• CPC Class Codes: G01S 5/0294 Trajectory determination or predictive filtering, e.g. target tracking or Kalman filtering
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/21 for social networking applications
• CPC Class Codes: H04W 48/04 based on user or terminal location or mobility data, e.g. moving direction, speed
• CPC Class Codes: H04W 52/02 Power saving arrangements in wired systems H04L12/12; signaling of mobile application services, e.g. low battery notifications H04W4/20
• CPC Class Codes: H04W 52/0251 using monitoring of local events, e.g. events related to user activity
• CPC Class Codes: H04W 52/0254 detecting a user operation or a tactile contact or a motion of the device
• CPC Class Codes: H04W 52/0258 controlling an operation mode according to history or models of usage information, e.g. activity schedule or time of day
• CPC Class Codes: H04W 64/00 Locating users or terminals or network equipment for network management purposes, e.g. mobility management
• CPC Class Codes: Y02B 70/30 Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

Architecture that facilitates power conservation in mobile devices such as cell phones using prediction. The architecture is an algorithmic-based solution that transforms infrequently-captured geolocation data of an entity into a continuous probable location approximation. Given the location history and additional data about the recent location of the mobile device, the current location of the device can be estimated with some probability. Additionally, given the location history and additional data about the recent location of the device, the probability of the device actually being at a given point on a map is computed.

Claims

1. A system, comprising:

an update component of a navigation application of a mobile device of a first user that accesses location updates of a second user, the location updates of the second user periodically stored on a network for access by the mobile device;

a prediction component of the mobile device that operates locally by predicting a realtime geographical location of the second user based on processing of a location update, the predication component facilitates power conservation in the mobile device by waiving access to the network for new location updates of the second user; and

a microprocessor that executes computer-executable instructions in a memory.

2. The system of claim 1, wherein the location updates include at least one of geographical coordinates of the location of the second user, or metadata comprised of speed information and navigation vector of the second user.

3. The system of claim 1, wherein the prediction component predicts the geographical point of the second user based on a destination of the second user.

4. The system of claim 1, wherein the prediction component predicts the geographical point of the second user based on some or all of historical location updates of the second user.

5. The system of claim 1, wherein the prediction component predicts the geographical point of the second user based on location updates of other users.

6. The system of claim 1, wherein the prediction component predicts the geographical point of the second user based on location updates and information from a navigation application of the second user.

7. The system of claim 1, further comprising a data component that obtains traffic data and road topology vector data for processing by the prediction component to predict the geographical point.

8. The system of claim 1, wherein a location update of the second user to the network is not performed when the second user travels along a same vector and at an approximately constant speed.

9. The system of claim 1, wherein a location update of the second user to the network is not performed when the second user maintains travel on a road of a map without departure therefrom.

10. The system of claim 1, wherein a location update of the second user to the network is performed when the second user arrives at a specific type of geographical point.

11. A method, comprising acts of:

monitoring power consumption of a mobile device of a user during user navigation along geographical routes using a map application;

accessing, via the mobile device, metadata of a second user stored on a network as location updates, the metadata stored on the network as the second user navigates using a map application;

estimating a realtime geographical location of the second user based on the accessed metadata, the estimating performed at the mobile device to conserve power in the mobile device rather than expending power accessing the network for additional location updates of the second user; and

utilizing a microprocessor that executes instructions stored in a memory.

12. The method of claim 11, further comprising performing the monitoring, accessing, and estimating as operations transparent to the user.

13. The method of claim 11, further comprising estimating the geographical location based on samples of geolocation data of other users or based on previous geolocation data of the second user.

14. The method of claim 11, further comprising estimating the geographical location of the second user based on location and map information of the second user, or based on a destination of the second user.

15. A method, comprising acts of:

monitoring power consumption of a mobile device of a user during user navigation along geographical routes using a map application;

sending location updates from the mobile device to a network as metadata that includes speed information and location vector information, based on location update criteria, the location updates for access by other users;

accessing, via the mobile device, metadata of a second user stored on the network as location updates of the second user, the metadata stored on the network as the second user navigates using a map application;

estimating a realtime geographical location of the second user based on the accessed metadata, the estimating performed at the mobile device to conserve power in the mobile device rather than expending power accessing the network for additional location updates of the second user; and

utilizing a microprocessor that executes instructions stored in a memory.

16. The method of claim 15, further comprising sending a location update from the mobile device to the network for access by the other users when the location update criteria indicates the user is approaching an intersection.

17. The method of claim 15, further comprising refraining from sending a location update from the mobile device to the network for access by the other users when the location update criteria indicates the user is maintaining speed along a vector.

18. The method of claim 15, further comprising refraining from sending a location update from the mobile device to the network for access by the other users when the location update criteria indicates the user is maintaining travel along a same road of a map.

19. The method of claim 15, further comprising estimating the realtime geographical location of the second user based in part on consideration of live traffic data.

20. The method of claim 15, further comprising overriding the sending of a location update based solely on the update criteria in view of a type of power source of the mobile device.