Prediction for power conservation in a mobile device

• US 9,442,181 B2
• Filed: 07/18/2012
• Issued: 09/13/2016
• Est. Priority Date: 07/18/2012
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Haik, Fadi, Ben-Dayan, Adi, Kaplan, Or, Oren, Gilad, Yariv, Eran
• Primary Examiner(s): HTUN, SAN A
• Application Number:
  US13/551,613
• Publication Number:
  US 20140024354A1
• Time in Patent Office: 1,518 Days
• US Class Current: 1/1
• 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 method, comprising acts of:

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

accessing, via the mobile device of the first user, metadata of a second user stored on a network as location updates, the metadata comprising speed data and vector data, and stored on the network as the second user navigates along geographical routes using a map application;

estimating according to a probable location approximation via the mobile device of the first user, 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 based on location update importance, the power conserved by periodically accessing the network for additional location updates of the second user rather than expending power by continuously accessing the network for the additional location updates of the second user; and

configuring a microprocessor to execute instructions stored in a memory, the instructions related to the acts of monitoring, accessing, and estimating.

2. The method of claim 1, further comprising performing the monitoring, accessing, and estimating as operations transparent to the user.

3. The method of claim 1, 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.

4. The method of claim 1, 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.