TRUSTWORTHINESS ASSESSMENT OF SENSOR DATA PROCESSING

• US 20090222399A1
• Filed: 02/27/2009
• Published: 09/03/2009
• Est. Priority Date: 02/28/2008
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP AG (SAP SE)
• Inventors: Gomez, Laurent, Sorniotti, Alessandro, Hebert, Cedric, Ulmer, Cedric
• Granted Patent: US 8,775,127 B2
• Time in Patent Office: Days
• US Class Current: 706/52
• CPC Class Codes: G05B 23/0221 Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods

Abstract

The present description refers in particular to a computer-implemented method, computer program product, and computer system for trust evaluation of sensor data during at least part of a sensor data life-cycle. The computer-implemented method may include evaluating an acquisition trust value (ATV) of sensor data at a sensor data acquisition module from at least one sensor node in a wireless sensor network (WSN), wherein the WSN comprises at least one sink, evaluating a delivery trust value (DTV) of sensor data at a sensor data delivery module from a sending entity to a receiving entity; and evaluating a processing trust value (PTV) at a sensor data processing module in a processing entity, to obtain a trust evaluation of the sensor data.

Claims

1. A computer-implemented method for trust evaluation of sensor data during at least part of a sensor data life-cycle, the method comprising:

evaluating an acquisition trust value (ATV) of sensor data at a sensor data acquisition module from at least one sensor node in a wireless sensor network (WSN), wherein the WSN comprises at least one sink;

evaluating a delivery trust value (DTV) of sensor data at a sensor data delivery module from a sending entity to a receiving entity; and

evaluating a processing trust value (PTV) at a sensor data processing module in a processing entity, to obtain a trust evaluation of the sensor data.

2. The computer-implemented method according to claim 1, wherein evaluating a processing trust value (PTV) comprises:

evaluating an aggregation trust value (AgTV) and evaluating a fusion trust value (FTV) in the processing entity.

3. The computer-implemented method according to claim 1, wherein the processing entity involves either the at least one sensor node or a middleware.

4. The computer-implemented method according to claim 1, wherein

the sending entity involves the at least one sensor node and the receiving entity involves the at least one sink;

the sending entity involves the at least one sink and the receiving entity involves a middleware; and

/or

the sending entity involves the middleware and the receiving entity involves at least one software application.

5. The computer-implemented method according to claim 1, wherein evaluating an acquisition trust value (ATV) comprises:

determining at least one trust value φ

(P_ai,e) of at least one sensor data attribute of the sensor data acquired from the at least one sensor node; and

evaluating the acquisition trust value (ATV) of the sensor data using an operator φ

_acqu depending on said at least one trust value φ

(P_ai,e) and at least one corresponding weighting value α

_i.

6. The computer-implemented method according to claim 1, wherein evaluating a delivery trust value (DTV) comprises:

determining a trust value φ

(P_s,f) of the sending entity in the sensor data;

determining a trust value φ

(P_f, e) of the receiving entity in the sending entity; and

evaluating the delivery trust value (DTV) using an operator φ

_del depending on said trust values φ

(P_s,f) and φ

(P_f,e).

7. The computer-implemented method according to claim 2, wherein evaluating an aggregation trust value (AgTV) comprises:

determining at least one trust value φ

(P_si,e) of at least one piece of sensor data; and

evaluating the aggregation trust value (AgTV) for sensor data aggregated from the at least one piece of sensor data using an operator φ

_⊕

depending on said at least one trust value φ

(P_si,e) and at least one corresponding weighting value α

_i.

8. The computer-implemented method according to claim 2, wherein evaluating a fusion trust value (FTV) comprises:

determining at least one trust value φ

(P_si,e) of at least one piece of sensor data; and

evaluating the fusion trust value (FTV) for sensor data fused from the at least one piece of sensor data using an operator depending on said at least one trust value φ

(P_si,e) and at least one corresponding weighting value α

_i.

9. The computer-implemented method according to claim 5, further comprising:

determining the at least one trust value φ

(P_ai,e) by computing at least one opinion value ω

_ai^e on the at least one sensor data attribute; and

implementing the operator φ

_acqu using a combine operator combining the at least one opinion value ω

_ai^e according to the at least one corresponding weighting value α

_i.

10. The computer-implemented method according to claim 6, further comprising:

determining the trust value φ

(P_s,f) by computing an opinion value ω

_s^f;

determining the trust value φ

(P_f,e) by computing an opinion value ω

_f^e; and

implementing the operator φ

_del using a discount operator applied to the opinion values ω

_s^f and ω

_f^e.

11. The computer-implemented method according to claim 7, further comprising:

determining the at least one trust value φ

(P_si,e) by computing at least one opinion value ω

_si^e on the at least one piece of sensor data; and

implementing the operator φ

_⊕

using an average operator computing an average of the at least one opinion value ω

_si^e according to the at least one corresponding weighting value α

_i.

12. The computer-implemented method according to claim 8, further comprising:

determining at least one trust value φ

(P_si,e) by computing at least one opinion value ω

_si^e on the at least one piece of sensor data; and

implementing the operator using a combine operator combining the at least one opinion value ω

_si^e according to the at least one corresponding weighting value α

_i.

13. The computer-implemented method according to claim 9, wherein implementing the combine operator comprises:

implementing a combineb operator to compute belief by combining at least one belief value b_i of the at least one sensor data attribute or of the at least one piece of sensor data according to the at least one corresponding weighting value α

_i; and

implementing a combineu operator to compute uncertainty by combining at least one uncertainty value u_i of the at least one sensor data attribute or of the at least one piece of sensor data according to the at least one corresponding weighting value α

_i, wherein an influence of the uncertainty is minimized in comparison with the belief.

14. A computer program product comprising computer readable instructions, which when loaded and run in a computer and/or computer network system, cause the computer system and/or the computer network system to:

evaluate an acquisition trust value (ATV) of sensor data at a sensor data acquisition module from at least one sensor node in a wireless sensor network (WSN), wherein the WSN comprises at least one sink;

evaluate a delivery trust value (DTV) of sensor data at a sensor data delivery module from a sending entity to a receiving entity; and

evaluate a processing trust value (PTV) at a sensor data processing module in a processing entity, to obtain a trust evaluation of the sensor data.

15. The computer program product of claim 14 wherein the computer readable instructions, when loaded and run in the computer and/or computer network system, further cause the computer system and/or the computer network system to:

evaluate an aggregation trust value (AgTV) and evaluate a fusion trust value (FTV) in the processing entity.

16. The computer program product of claim 14 wherein the computer readable instructions, when loaded and run in the computer and/or computer network system, further cause the computer system and/or the computer network system to:

wherein the processing entity involves either the at least one sensor node or a middleware.

17. The computer program product of claim 14, wherein

the sending entity involves the at least one sensor node and the receiving entity involves the at least one sink;

the sending entity involves the at least one sink and the receiving entity involves a middleware; and

/or

the sending entity involves the middleware and the receiving entity involves at least one software application.

18. The computer program product of claim 14, wherein the computer readable instructions, when loaded and run in the computer and/or computer network system, further cause the computer system and/or the computer network system to evaluate the acquisition trust value (ATV) including

determining at least one trust value φ

(P_ai,e) of at least one sensor data attribute of the sensor data acquired from the at least one sensor node; and

evaluating the acquisition trust value (ATV) of the sensor data using an operator φ

_acqu depending on said at least one trust value φ

(P_ai,e) and at least one corresponding weighting value α

_i.

19. The computer program product of claim 14, wherein the computer readable instructions, when loaded and run in the computer and/or computer network system, further cause the computer system and/or the computer network system to evaluate a delivery trust value (DTV) including

determining a trust value φ

(P_s,f) of the sending entity in the sensor data;

determining a trust value φ

(P_f,e) of the receiving entity in the sending entity; and

evaluating the delivery trust value (DTV) using an operator φ

_del depending on said trust values φ

(P_s,f) and φ

(P_f,e).

20. The computer program product of claim 15, wherein the computer readable instructions, when loaded and run in the computer and/or computer network system, further cause the computer system and/or the computer network system to evaluate the aggregation trust value (AgTV) including

determining at least one trust value φ

(P_si,e) of at least one piece of sensor data; and

evaluating the aggregation trust value (AgTV) for sensor data aggregated from the at least one piece of sensor data using an operator φ

_⊕

depending on said at least one trust value φ

(P_si,e) and at least one corresponding weighting value α

_i.

21. The computer program product of claim 15, wherein the computer readable instructions, when loaded and run in the computer and/or computer network system, further cause the computer system and/or the computer network system to evaluate the fusion trust value (FTV) including

determining at least one trust value φ

(P_si,e) of at least one piece of sensor data; and

evaluating the fusion trust value (FTV) for sensor data fused from the at least one piece of sensor data using an operator depending on said at least one trust value φ

(P_si,e) and at least one corresponding weighting value α

_i.

22. A computer system for trust evaluation of sensor data during at least part of a sensor data life-cycle, the system including computer-readable instructions stored on a computer readable-medium, the system comprising:

a sensor data acquisition tool operable to evaluate an acquisition trust value (ATV) of sensor data at sensor data acquisition from at least one sensor node in a wireless sensor network (WSN), wherein the WSN comprises at least one sink;

a sensor data delivery tool operable to evaluate a delivery trust value (DTV) of sensor data at sensor data delivery from a sending entity to a receiving entity; and

a sensor data processing tool operable to evaluate a processing trust value (PTV) at sensor data processing in a processing entity, to obtain a trust evaluation of the sensor data.

23. The computer system according to claim 22, wherein the sensor data processing tool is further operable to:

evaluate an aggregation trust value (AgTV) and evaluate a fusion trust value (FTV) in the processing entity.

24. The computer system according to claim 22, wherein the processing entity involves either the at least one sensor node or a middleware.

25. The computer system according to claim 22, wherein

the sending entity involves the at least one sensor node and the receiving entity involves the at least one sink;

the sending entity involves the at least one sink and the receiving entity involves a middleware; and

/or

the sending entity involves the middleware and the receiving entity involves at least one software application.

26. The computer system according to claim 22, wherein the sensor data acquisition tool is further operable to:

determine at least one trust value φ

(P_ai,e) of at least one sensor data attribute of the sensor data acquired from the at least one sensor node; and

evaluate the acquisition trust value (ATV) of the sensor data using an operator φ

_acqu depending on said at least one trust value φ

(P_ai,e) and at least one corresponding weighting value α

_i.

27. The computer system according to claim 22, wherein the sensor data delivery tool is further operable to:

determine a trust value φ

(P_s,f) of the sending entity in the sensor data;

determine a trust value φ

(P_f,e) of the receiving entity in the sending entity; and

evaluate the delivery trust value (DTV) using an operator φ

_del depending on said trust values φ

(P_s,f) and φ

(P_f,e).