Application and Situation-Aware Community Sensing

• US 20140245307A1
• Filed: 02/22/2013
• Published: 08/28/2014
• Est. Priority Date: 02/22/2013
• Status: Active Grant

• Current Assignee: HCL Technologies Limited
• Original Assignee: International Business Machines Corporation
• Inventors: Agarwal, Vikas, Banerjee, Nilanjan, Chakraborty, Dipanjan, Mittal, Sumit
• Granted Patent: US 10,034,144 B2
• Time in Patent Office: Days
• US Class Current: 718/102
• CPC Class Codes: G06Q 10/101 Collaborative creation, e.g. joint development of products or services
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06Q 50/10 Services
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04W 4/30 Services specially adapted for particular environments, situations or purposes
• CPC Class Codes: H04W 4/38 for collecting sensor information

Abstract

Techniques, systems, and articles of manufacture for application and situation-aware community sensing. A method includes processing one or more sensor data requirements for each of multiple sensing applications and one or more user preferences for sensing, determining a sensing strategy for multiple sensors corresponding to the multiple sensing applications based on the one or more sensor data requirements and the one or more user preferences for sensing, wherein said sensing strategy comprises logic for executing a sensing task, and scheduling a sensor duty cycle and a sampling frequency for each of the multiple sensors based on the sensing strategy needed to execute the sensing task.

Claims

1. A method comprising:

processing one or more sensor data requirements for each of multiple sensing applications and one or more user preferences for sensing;

determining a sensing strategy for multiple sensors corresponding to the multiple sensing applications based on the one or more sensor data requirements and the one or more user preferences for sensing, wherein said sensing strategy comprises logic for executing a sensing task; and

scheduling a sensor duty cycle and a sampling frequency for each of the multiple sensors based on the sensing strategy needed to execute the sensing task;

wherein at least one of the steps is carried out by a computer device.

2. The method of claim 1, wherein the one or more sensor data requirements comprise sensed event criteria.

3. The method of claim 1, wherein the one or more sensor data requirements comprise a spatio-temporal utility function for an event to be sensed.

4. The method of claim 1, wherein the one or more sensor data requirements comprise one or more specifications for reporting sensor information.

5. The method of claim 1, wherein the one or more user preferences comprise a time-based preference.

6. The method of claim 1, wherein the one or more user preferences comprise a location-based preference.

7. The method of claim 1, wherein the one or more user preferences comprise a resource-based preference.

8. The method of claim 1, wherein said sensing strategy reduces resource consumption while satisfying the one or more user preferences and the one or more application requirements.

9. The method of claim 1, wherein said sensing comprises utilizing multiple user mobile devices.

10. The method of claim 1, wherein said determining comprises evaluating the one or more sensor data requirements against available sensor data.

11. The method of claim 1, wherein said determining comprises learning sensor data history for the user and/or one or more different sensing applications.

12. The method of claim 1, wherein said sensing strategy specifies a period of time and/or a geographic location suitable for a sensor to actively sense data.

13. The method of claim 1, comprising:

storing the one or more sensor data requirements for each sensing application and the one or more user preferences for sensing.

14. The method of claim 1, comprising:

maintaining a buffer for each of the multiple sensors, wherein each buffer is continuously populated with data sensed by the corresponding sensor.

15. An article of manufacture comprising a computer readable storage medium having computer readable instructions tangibly embodied thereon which, when implemented, cause a computer to carry out a plurality of method steps comprising:

processing one or more sensor data requirements for each of multiple sensing applications and one or more user preferences for sensing;

determining a sensing strategy for multiple sensors corresponding to the multiple sensing applications based on the one or more sensor data requirements and the one or more user preferences for sensing, wherein said sensing strategy comprises logic for executing a sensing task; and

scheduling a sensor duty cycle and a sampling frequency for each of the multiple sensors based on the sensing strategy needed to execute the sensing task.

16. The article of manufacture of claim 15, wherein said sensing comprise utilizing multiple user mobile devices.

17. A system comprising:

at least one distinct software module, each distinct software module being embodied on a tangible computer-readable medium;

a memory; and

at least one processor coupled to the memory and operative for;

processing one or more sensor data requirements for each of multiple sensing applications and one or more user preferences for sensing;

determining a sensing strategy for multiple sensors corresponding to the multiple sensing applications based on the one or more sensor data requirements and the one or more user preferences for sensing, wherein said sensing strategy comprises logic for executing a sensing task; and

scheduling a sensor duty cycle and a sampling frequency for each of the multiple sensors based on the sensing strategy needed to execute the sensing task.

18. The system of claim 17, wherein said sensing strategy reduces resource consumption while satisfying the one or more user preferences and the one or more application requirements.

19. A method comprising:

capturing one or more sensor data requirements for each of multiple sensing applications and one or more user preferences for sensing;

processing the one or more sensor data requirements and the one or more user preferences for sensing to determine a sensing strategy for multiple sensors corresponding to the multiple sensing applications, wherein said sensing strategy comprises logic for executing a sensing task;

scheduling a sensor duty cycle and a sampling frequency for each of the multiple sensors based on the sensing strategy needed to execute the sensing task; and

transmitting data sensed by the multiple sensors to a server associated with at least one of the multiple sensing applications;

wherein at least one of the steps is carried out by a computer device.

20. The method of claim 19, wherein said sensing comprise utilizing multiple user mobile devices.