DEVICE MANAGEMENT IN MACHINE TO MACHINE NETWORK

• US 20140244838A1
• Filed: 02/26/2014
• Published: 08/28/2014
• Est. Priority Date: 02/26/2013
• Status: Active Grant

• Current Assignee: KT Corporation
• Original Assignee: KT Corporation
• Inventors: RYU, Hwi-Jung, KANG, Mi-Kyoung, KWON, Yong, YANG, Sung-Ihk, LEE, Kwang-Jin, LIM, Sung-Kooc, HUH, Yu-Jin
• Granted Patent: US 10,374,911 B2
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: H04L 41/0893 Assignment of logical groups to network elements
• CPC Class Codes: H04L 43/04 Processing captured monitoring data, e.g. for logfile generation
• CPC Class Codes: H04W 4/38 for collecting sensor information
• CPC Class Codes: H04W 4/50 Service provisioning or reconfiguring

Abstract

The present disclosure is related to device management in a machine to machine (M2M) network. Particularly, the present disclosure relates to performing an efficient device management based on correlations between M2M devices in the M2M network.

Claims

1. A method of performing a device management in a machine to machine (M2M) network, the method comprising:

collecting M2M data from a plurality of M2M devices;

obtaining one or more correlation values between M2M devices included in a device group for a correlation calculation; and

controlling an operation of at least one M2M device among M2M devices having a relatively greater correlation value.

2. The method of claim 1, wherein the device group for the correlation calculation is determined based on location information of each M2M device.

3. The method of claim 1, wherein the obtaining includes:

extracting one or more data samples for each M2M device, through a data sampling of the M2M data;

forming one or more data sample pairs for each M2M device pair; and

calculating a correlation value using the one or more data sample pairs, per M2M device pair.

4. The method of claim 3, wherein:

the data sampling is performed according to a predetermined data set extraction period; and

each data sample pairs includes two data samples, wherein a data collection time error of the two data samples is within a maximum time error range.

5. The method of claim 3, further comprising at least one of:

(i) determining a possibility of a data comparison per M2M device pair, based on at least one of a data type and a data parsing result; and

(ii) performing a data projection per M2M device pair.

6. The method of claim 1, wherein the data comparison is determined based on at least one of a content type and a data format.

7. The method of claim 1, wherein the controlling includes:

selecting the at least one of M2M device for operation control; and

controlling an operation of each of the selected M2M devices.

8. The method of claim 7, wherein the selecting is performed based on at least one of a device performance and an operation policy.

9. The method of claim 8, wherein the operation policy includes priority information determined for each M2M device.

10. The method of claim 7, wherein the controlling includes:

transiting the selected at least one M2M device to a sleep mode.

11. The method of claim 7, wherein the controlling an operation of each of the selected M2M devices includes:

determining whether each correlation value satisfies an operation condition;

identifying operation information corresponding to a satisfied operation condition; and

controlling the operation of the selected M2M device, according to the operation information.

12. The method of claim 11, wherein at least one of the operation condition and the operation information is determined based on an operation policy of a network operator.

13. The method of claim 1, further comprising:

providing the one or more correlation values to an operator management server.

14. The method of claim 1, wherein the collecting, the obtaining, and the controlling are re-performed according to a correlation re-analysis period.

15. The method of claim 14, further comprising:

waking up one or more M2M devices in a sleep mode, for a predetermined time period, such that a data collection is performed.

16. An apparatus for performing a device management in a machine to machine (M2M) network, the apparatus comprising:

a correlation analysis processor configured to obtain one or more correlation values between M2M devices included in a device group for a correlation calculation; and

an operation control processor configured to control an operation of at least one M2M device among M2M devices having a relatively greater correlation value.

17. The apparatus of claim 16, wherein the device group for the correlation calculation is determined based on location information of each M2M device.

18. The apparatus of claim 16, wherein the correlation analysis processor is configured to:

(i) extract one or more data samples for each M2M device, through a data sampling of the M2M data;

(ii) form one or more data sample pairs for each M2M device pair; and

(iii) calculate a correlation value using the one or more data sample pairs, per M2M device pair.

19. The apparatus of claim 16, wherein the operation control processor is configured to:

(i) determine whether each correlation value satisfies an operation condition;

(ii) identify operation information corresponding to a satisfied operation condition; and

(iii) control the operation of the selected M2M device, according to the operation information.

20. The apparatus of claim 16, wherein at least one of the correlation analysis processor and the operation control processor is configured to re-perform according to a correlation re-analysis period.