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Testbed for the Sensor Cloud

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Trusted Cloud Computing

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Abstract

SensorCloud is a cooperative project of research institutes and companies in Germany which is aimed at using secure cloud technologies to connect sensors and actors from industry and private homes to the cloud. This article focuses on the construction of a testbed for SensorCloud with the application ’smart private home’. Newly developed sensors e.g. a vision sensor form the base of a system which is connected to the SensorCloud through a Location master gateway which combines several functions namely secure communication with the cloud using the SensorCloud protocol, interworking of different sensor technologies based on sensor ontologies. Special attention was given to the construction of a federated data base consisting of local components and Cloud components. The article presents the system built so far and shows some possible applications.

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References

  1. K. Ambrosch, W. Kubinger, M. Humenberger and A. Steininger, in EURASIP Journal on Embedded Systems. Flexible Hardware-Based Stereo Matching, Article ID 386059, (2009)

    Google Scholar 

  2. S. Apewokin, B. Valentine, R. Bales, L. Wills and S. Wills, in Proceedings of 2nd IEEE Workshop on Embedded Computer Vision (ECVW), CVPR 2008, Fort Col-lins, CO, USA. Tracking Multiple Pedestrians in Real-time Using Kinematics, (2008)

    Google Scholar 

  3. C. Arth, H. Bischof and C. Leistner, in Proceedings IEEE Conference on Com-puter Vision and Pattern Recognition (CVPR), IEEE Workshop on Embedded Computer Vision (ECVW), New York, USA. TRICam – an Embedded Platform for Remote Traffic Surveillance, (2006)

    Google Scholar 

  4. C. Arth, F. Limberger and H. Bischof, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR ’07). Real-time License Plate Recognition on an Embedded DSP-platform, (2007)

    Google Scholar 

  5. Bonino, Dario; Castellina, Emiliano; Corno, Fulvio: “DOG: An Ontology-Powered OSGi Domotic Gateway” in 20th IEEE International Conference on Tools with Artificial Intelligence: IEEE, pp. 157–160, 2008

    Google Scholar 

  6. F. Bitter, A. Dahms, J. Kasche, B. Müller, D.Müller and J. Panaskova, in Raumklimatechnik – Band 2 (2008). Sensorische Bestimmung der Luftqualität, (2008)

    Google Scholar 

  7. M. Bramberger, A. Doblander, A. Maier, B. Rinner and H. Schwabach, in IEEE Computer. Distributed Embedded Smart Cameras for Surveillance Applications, vol. 39, no. 2, (2006)

    Google Scholar 

  8. Beenken, P.; Schwassmann, St.; Albrecht, M.; Appelrath, H.-J.; Heisecke, S.: “Speicherstrategien für die Sensordaten des Offshore-Windparks alpha ventus”, in: Datenbank-Spektrum 28/2009, S.22-30

    Google Scholar 

  9. Chang, F.; Dean, J.; Ghemawat, S.; Hsieh, W.; Wallach, D.; Burrows, M.; Chandra, T.; Fikes, A.; Gruber R.: “Bigtable: A Distributed Storage System for Structured Data” OSDI 2006. http://labs.google.com/papers/bigtable.html

  10. E. Cervera, F. Berry, P. Martinet in Proceedings of the 15th IFAC World Congress on Automatic Control, IFAC’02 Barcelona, Spain, July 2002. Image based stereo visual servoing: 2D vs 3D features. (2002)

    Google Scholar 

  11. P.W. Chen, P. Ahammad, C. Boyer, S. Huang, L. Lin, E.J. Lobaton, M.L. Meingast, S. Oh, S. Wang, P. Yan, A. Yang, C. Yeo, L. Chang, J. D. Tygar and S.S. Sastry, in Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC). CITRIC: A Low-bandwidth Wireless Camera Network Plat-form, pp. 1–10, (2008)

    Google Scholar 

  12. Conrad, St.: “Schemaintegration – Integrationskonflikte, Lösungsans¨atze, aktuelle Herausforderungen”, in: Informatik – Forschung und Entwicklung, 17 / 2002, S.101-111

    Google Scholar 

  13. Koenig, Rudolf, “Features”, Home of culfw, Sep. 27. 2013. https://www.culfw.de

  14. de la Fuente, M.I.; Echanobe, J.; del Campo, I.; Susperregui, L.; Maurtua, I. International Symposium on Industrial Embedded Systems (SIES), 2010, Devel-opment of an embedded system for visual servoing in an industrial scenario, (2010)

    Google Scholar 

  15. R. Gerndt, S. Michalik, S. Krupop, in Proceedings of 9th IEEE International Con-ference on Industrial Informatics (INDIN), Caparica, Lisbon. Embedded Vision Systems for Robotics and Industrial Automation, (2011)

    Google Scholar 

  16. Gill, K.; Shuang-Hua Yang; Fang Yao; Xin Lu: A zigbee-based home automation system, IEEE Transactions on Consumer Electronics, Vol 55., Issue 2, pp. 422–430, 2009

    Google Scholar 

  17. J. Hiraiwa, H. Amano, in Proceedings of 27th IEEE Workshop on Advanced In-formation Networking and Applications, AINA, Barcelona, Spain. An FPGA Im-plementation of Reconfigurable Real-Time Vision Architect, (2013)

    Google Scholar 

  18. Karnouskos, St.: “Efficent Sensor Data Inclusion in Enterprise Services”, in: Datenbank- Spektrum 28/2009, S.5-10

    Google Scholar 

  19. Kemper, A.; Eickler, A.: “Datenbanksysteme”, (6. erw. Aufl.) München, Wien (Oldenbourg) 2006

    Google Scholar 

  20. B. Khaleghi, S. Ahuja and Q. Wu, in Proceedings of 2nd IEEE Workshop on Embedded Computer Vision (ECVW), CVPR 2008. An Improved Real-time Minia-turized Embedded Stereo Vision System (MESVS-II), (2008)

    Google Scholar 

  21. Klan, D.; Sattler, K.-U.: “AnduIN: Anwendungsentwicklung f¨ur drahtlose Sensornetzwerke” in: Datenbank-Spektrum April 2011, S.15-26

    Google Scholar 

  22. Kossmann, D.; Kraska, T.: “Data Management in the Cloud: Promises, State-of-the-art, and Open Questions”, in: Datenbank-Spektrum Dezember 2010, S.121-129

    Google Scholar 

  23. Jongwon Kwon; Gwanghoon Ahn; Gyusik Kim; Jo Chun Kim; Hiesik Kim, “A study on NDIR-based CO2 sensor to apply remote air quality monitoring system”, ICCAS-SICE, 2009, pp.1683,1687, 18-21 Aug. 2009

    Google Scholar 

  24. http://www.loxone.com

  25. http://research.microsoft.com/en-us/projects/homeos/

  26. Y.M. Mustafah, A. Bigdeli, A.W. Azman and B.C. Lovell, in Recent Advances in Security Technology (RNSA). Smart Cameras Enabling Automated Face Recognition in the Crowd for Intelligent Surveillance System, (2007)

    Google Scholar 

  27. Peng, I-Hsuan; Chu, Yen-Yin; Kong, Cui-Yu; Su, Yu-Sheng, “Implementation of Indoor VOC Air Pollution Monitoring System with Sensor Network,” Complex, Intelligent, and Software Intensive Systems (CISIS), 2013 Seventh International Conference on, vol., no., pp. 639, 643, 3-5 July 2013

    Google Scholar 

  28. Preethichandra, D.M.G., “Design of a smart indoor air quality monitoring wireless sensor network for assisted living” Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International, vol., no., pp. 1306, 1310, 6-9 May 2013

    Google Scholar 

  29. http://www.qivicon.com

  30. Rahm, E.: “Mehrrechner-Datenbanksysteme – Grundlagen der verteilten und parallelen Datenbankverarbeitung”, Bonn, Paris, Reading MA, USA (Addison-Wesley), 1994

    Google Scholar 

  31. Ritter, N.: “Verteilte und föderierte Datenbanksysteme”, in: Kudraß, Th. (Hg.): “Taschenbuch Datenbanken”, Leipzig (Fachbuchverlag) 2007. S.394-426

    Google Scholar 

  32. Anthony Rowe, Dhiraj Goel, Raj Rajkumar, FireFly Mosaic: A Vision-EnabledWireless Sensor Networking System, Real-Time Systems Symposium (RTSS), December 2007

    Google Scholar 

  33. Anthony Rowe, Adam Goode, Dhiraj Goel, Illah Nourbakhsh: CMUcam3: An Open Programmable Embedded Vision Sensor, Carnegie Mellon Robotics Institute Technical Report, RI-TR-07-13 May 2007

    Google Scholar 

  34. Anthony Rowe, Charles Rosenberg, Illah Nourbakhsh: A Second Generation Low Cost Embedded Color Vision System Embedded Computer Vision Workshop, CVPR 2005, 2005

    Google Scholar 

  35. M. Samarawickrama, A. Pasqual, R. Rodrigo: FPGA-Based Compact and Flexible Architecture for Real-Time Embedded Vision Systems in Proceedings of 4th International Conference on Industrial and Information Systems, ICIIS, Sri Lanka., 2009

    Google Scholar 

  36. J. Schlessman, C. Chen, W. Wolf, B. Ozer, K. Fujino and K. Itoh: Hardware/Software Co-Design of an FPGA-Based Embedded Tracking System in Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop, Washington, DC, USA, 2006

    Google Scholar 

  37. M. Sen, I. Corretjer, F.H.S. Saha, J. Schlessman, S.S. Bhattacharyya and W. Wolf: Computer Vision on FPGAs: Design Methodology and its Application to GestureRecognition in Proceedings of IEEE Workshop on Embedded Computer Vision (ECVW), CVPR, San Diego, CA, USA, 2005

    Google Scholar 

  38. Vossen, G.: “Datenmodelle, Datenbanksprachen und Datenbankma-nagementsysteme”, (5. erw. Aufl.) München, Wien (Oldenbourg) 2008

    Google Scholar 

  39. Zamora-Izquierdo, Miguel A.; Santa, José; Gómez-Skarmeta, Antonio F.: “An Integral and Networked Home Automation Solution for Indoor Ambient Intelligence”, IEEE Pervasive Computing, Vol 9, Issue 4, pp 66-77, 2010

    Google Scholar 

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Author information

Authors and Affiliations

  1. Faculty of Information, Media and Electric Engineering, Institute of Communications Engineering, Cologne University of Applied Sciences, Cologne, Germany

    Gregor Büchel, Henning Budde, Maria Bunina, Sven Elbrandt, Martin Fehre, Georg Hartung, Tobias Krawutschke, Andreas Lockermann, Thomas Partsch, Daniel Scholz, Andre Schüer & Lothar Thieling

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  1. Gregor Büchel
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  2. Henning Budde
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  3. Maria Bunina
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  4. Sven Elbrandt
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  5. Martin Fehre
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  6. Georg Hartung
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  7. Tobias Krawutschke
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  8. Andreas Lockermann
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  9. Thomas Partsch
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  10. Daniel Scholz
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  11. Andre Schüer
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  12. Lothar Thieling
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Corresponding author

Correspondence to Gregor Büchel .

Editor information

Editors and Affiliations

  1. Technische Universität München, fortiss - An-Institut Technische Universität München, Munich, Germany

    Helmut Krcmar

  2. Karlsruhe Institute of Technology, FZI - Forschungszentrum Informatik am KIT, Karlsruhe, Germany

    Ralf Reussner

  3. RWTH Aachen, RIT - Rumpe Information Technologies, Aachen, Germany

    Bernhard Rumpe

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Büchel, G. et al. (2014). Testbed for the Sensor Cloud. In: Krcmar, H., Reussner, R., Rumpe, B. (eds) Trusted Cloud Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-12718-7_14

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  • DOI: https://doi.org/10.1007/978-3-319-12718-7_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12717-0

  • Online ISBN: 978-3-319-12718-7

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