METHOD AND APPARATUS FOR DETERMINING WHETHER A DEVICE IS SUITABLE FOR OPERATING AT AN INCIDENCE LOCATION

• US 20100159941A1
• Filed: 12/18/2008
• Published: 06/24/2010
• Est. Priority Date: 12/18/2008
• Status: Active Grant

• Current Assignee: Motorola Solutions, Inc.
• Original Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Inventors: Bojeng, Abdul Rahman, Rao, Jaya, Choong, Kit Soon
• Granted Patent: US 8,219,155 B2
• Time in Patent Office: Days
• US Class Current: 455/456.100
• CPC Class Codes: G01S 19/17 Emergency applications
• CPC Class Codes: G01S 19/34 Power consumption
• 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 52/0219 where the power saving management affects multiple terminals
• CPC Class Codes: H04W 52/0277 according to available power supply, e.g. switching off when a low battery condition is detected
• CPC Class Codes: H04W 64/00 Locating users or terminals or network equipment for network management purposes, e.g. mobility management
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

A method and apparatus for determining whether a device is suitable for operating at an incidence location enables effective deployment of devices in a wireless communication network. The method includes identifying a location of the device in the wireless communication network. Next, a state of charge of a battery of the device is identified based on data received from the device. A preference value of the device is then determined relative to an incidence location in the wireless communication network. The preference value is a function of the state of charge of the device and a distance between the location of the device and the incidence location. Finally, using the preference value, it is determined whether the device is suitable for operating at the incidence location.

Claims

1. A method for determining whether a device is suitable for operating at an incidence location, the method comprising:

identifying a location of the device in a wireless communication network;

identifying a state of charge of a battery of the device based on data received from the device;

determining a preference value of the device relative to an incidence location in the wireless communication network, wherein the preference value is a function of the state of charge of the device and a distance between the location of the device and the incidence location; and

determining, using the preference value, whether the device is suitable for operating at the incidence location.

2. The method of claim 1, wherein the method is repeated for each of a plurality of devices operating in the wireless communication network.

3. The method of claim 1, wherein the method is performed at a power monitoring apparatus operating in the wireless communication network.

4. The method of claim 3, wherein the preference value is displayed on the power monitoring apparatus.

5. The method of claim 3, wherein the preference value is displayed on a histogram curve on the power monitoring apparatus.

6. The method of claim 1, wherein the preference value is used to generate a histogram for determining whether the device is suitable for operating at the incidence location.

7. The method of claim 1, wherein the preference value is a ratio of the state of charge of the device and the distance between the location of the device and the incidence location.

8. The method of claim 1, wherein the preference value is also a function of an adapted weight value.

9. The method of claim 8, wherein the adapted weight value is a function of parameters selected from the following:

a state of health coefficient of the battery of the device, a historical usage coefficient of the battery of the device, a discharge rate of the battery of the device, a temperature of the battery of the device, a wireless channel model coefficient, and an error prediction parameter.

10. The method of claim 8, wherein the adapted weight value is determined using a least mean squares algorithm or a recursive least squares algorithm.

11. A power monitoring apparatus for determining whether a device is suitable for operating at an incidence location, the apparatus comprising:

computer readable program code components for identifying a location of the device in a wireless communication network;

computer readable program code components for identifying a state of charge of a battery of the device based on data received from the device;

computer readable program code components for determining a preference value of the device relative to an incidence location in the wireless communication network, wherein the preference value is a function of the state of charge of the device and a distance between the location of the device and the incidence location; and

computer readable program code components for determining, using the preference value, whether the device is suitable for operating at the incidence location.

12. The apparatus of claim 11, wherein the preference value is displayed on a display screen of the apparatus.

13. The apparatus of claim 12, wherein the preference value is displayed on a histogram curve on the display screen of the apparatus.

14. The apparatus of claim 11, wherein the preference value is used to generate a histogram for determining whether the device is suitable for operating at the incidence location.

15. The apparatus of claim 11, wherein the preference value is a ratio of the state of charge of the device and the distance between the location of the device and the incidence location.

16. The apparatus of claim 11, wherein the preference value is also a function of an adapted weight value.

17. The apparatus of claim 16, wherein the adapted weight value is a function of parameters selected from the following:

a state of health coefficient of the battery of the device, a historical usage coefficient of the battery of the device, a discharge rate of the battery of the device, a temperature of the battery of the device, a wireless channel model coefficient, and an error prediction parameter.

18. The apparatus of claim 16, wherein the adapted weight value is determined using a least mean squares algorithm or a recursive least squares algorithm.