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Building Human Sensor Webs with 52° North SWE Implementations

Building Human Sensor Webs with 52° North SWE Implementations. Eike Hinderk Jürrens, Arne Bröring, Thomas Everding, Simon Jirka , Christoph Stasch. Overview. Sensor Web Enablement Typical SWE Use Cases Mobile Communication The Human Sensor Web Project Outlook Conclusion.

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Building Human Sensor Webs with 52° North SWE Implementations

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  1. Building Human Sensor Webs with 52° North SWE Implementations Eike Hinderk Jürrens, Arne Bröring, Thomas Everding, Simon Jirka, Christoph Stasch

  2. Overview • Sensor Web Enablement • Typical SWE Use Cases • Mobile Communication • The Human Sensor Web Project • Outlook • Conclusion

  3. Sensor Web Enablement • Standardization of data formats as well as (web) service interfaces • Integration of sensors and sensor data into spatial data infrastructures • Hide the heterogeneity of sensor interfaces and low level sensor network protocols • Foundation for realizing “plug-and-play” web based sensor networks

  4. Sensor Web Enablement • OGC Working Group • Standards for • Encoding of sensor measurements • Accessing real time measurement data as well as time series data • Controlling sensors and simulation models • (Discovering sensors and sensor data) • Describing metadata of sensors and sensor observations

  5. Sensor Web Enablement

  6. Sensor Web Enablement

  7. Sensor Web Enablement • Sensor Observation Service (SOS) • Access to • Observation data (time series) • Sensor Metadata • Pull-based • Encodings • O&M for modeling sensor observations • SensorML for modeling sensor metadata • http://www.opengeospatial.org/standards/sos

  8. Sensor Web Enablement • Sensor Event Service (SES) • Enhancement of the OGC Sensor Alert Service (SAS) • Filtering of events (sensor measurements) according to user defined rules • Support more complex conditions than the SAS, e.g. • Temporal conditions • More precise geometric conditions • Combination of rules • Work in progress  not yet an OGC standard

  9. Sensor Web Enablement • Web Notification Service (WNS) • Enables asynchronous communications between a user and corresponding services • Protocol transducer between HTTP and • E-mail • SMS • Instant message • Phone call • … • Work in progress  not yet an OGC standard

  10. Conventional SWE Use Cases • Sensor networks owned by operators like public authorities and companies (e.g. weather services, pollutant measurement stations) • Collection of the data and transfer into a central database • Standardized access to the database through the SOS interface

  11. Mobile Communication • Mobile phones become more and more powerful • Wireless internet connections  ability to connect to web services • Better displays  more opportunities for designing programs running on mobile phones • Significant amount of computing power  support of more complex communication protocols • GPS  allows positioning

  12. Mobile Communication • Adapters for SWE components may be implemented directly on mobile phones • Disadvantage: Implementing SWE on mobile phones excludes older phone models • Aim: Develop an approach that can also be supported by simple mobile phones  use SMS

  13. The Human Sensor Web Project • Conducted by the ITC, WI-TMC and 52° North for UN-HABITAT • Funded by Google.org • Based on SWE technology  connect simple mobile phones to the SWE architecture in order to allow the collection of human observations

  14. The Human Sensor Web Project • Aim: Improve the water supply in Zanzibar • Using mobile phones for reporting the water supply quality at water points • Water operators receive better knowledge about the supply situation • The consumers can be informed (e.g. via SMS) if problems with the water supply occur

  15. The Human Sensor Web Project

  16. The Human Sensor Web Project

  17. The Human Sensor Web Project • Human observations are not always reliable need for modeling some kind of trust • Depending on the reputation of a user the system holds a message back or forwards it • Reputation is adjusted after each sent message • Principle: Fast decrease and slow increase of trust

  18. The Human Sensor Web Project • Modeled using the Event Pattern Markup Language (EML, OGC discussion paper) • EML files are submitted to a SES instance • SES filters messages taking into account the calculation of trust • SES only forwards trustworthy messages

  19. Outlook • Transfer the solution to further application domains • Enhance the trust model • Extended client applications

  20. Conclusion • SWE concepts can be applied also to human observations • System based on 52° North SWE implementations • Trust model is important • Human observations add a new valuable data source to sensor network infrastructures • Users do not need any knowledge about SWE

  21. Thank you for your attention Further information: • jirka@52north.org • http://www.52north.org/ • http://sensorweb.uni-muenster.de/

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