Comments (1)
If you define reliability as the deviation of the measured values from a ground truth, then you can for example have a second virtual sensor that is providing you the ground truth and you can write you own processing class which merge both and compute the difference.
If you measure the reliability by identifying when the sensor fails (for example reporting impossible values) then you can again write your own processing class and detect those failure and maybe add an extra field to the virtualsensor to reflect the frequency of failures.
If you have several sensors distributed geographically and want to detect if one is reporting consistent values compared to the other or according to a model, it start to be a little bit more complex, but you can still merge all virtual sensors into a single one that will be maintaining a model and computing the likelihood of the incoming data.
There are probably also other ways, depending on what you call reliability...
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Related Issues (20)
- By default, put GSN user files in user home HOT 2
- Consider using a tool like ZooKeeper (but simpler) to coordinate the different modules of GSN
- NOSQL support for GSN HOT 9
- deploying new sensor HOT 1
- Tiny-GSN Functionalities HOT 2
- h2 database gets initiliazed during startup event though not specified in gsn.xml file
- Storing to database HOT 1
- Location HOT 1
- Multiple value Sensor Deployment HOT 1
- Time Unit in GSN HOT 2
- Database Modification HOT 1
- How to enable debuging in GSN server ? HOT 1
- Error in input streams HOT 3
- Input Stream Error HOT 1
- Connecting various GSN's HOT 1
- database table HOT 1
- GSN configuration error HOT 29
- unable to load first virtual sensor
- gsn-release-1.1.6 in Eclipse shows error HOT 1
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