Advertisement

Combining Machine-to-Machine Communications with Intelligent Objects in Logistics

  • Javier Palafox-Albarran
  • Alexander Dannies
  • Bala Krishna Sanjeeva
  • Walter Lang
  • Reiner Jedermann
Part of the Communications in Computer and Information Science book series (CCIS, volume 282)

Abstract

The combination of Machine-to-Machine (M2M) communication and intelligent objects can largely improve the supervision of logistic processes. This requires global mobile communications and short-range wireless sensor nodes. We assembled a demonstrator using off-the-shelf hardware for tests and classroom experiments that shows the feasibility of implementation of the future Internet of Things. It includes the use of embedded devices to perform local intelligent data processing and allows an evaluation of the advantages of ubiquitous M2M communication on a laboratory scale. New software features can be deployed, either to the gateway-device in the form of OSGi-bundles or to the sensor nodes in the form of MIDlet-suites, by using M2M-technology. As an example, we programmed an algorithm for predicting temperature curves in a container using real acquired datasets. A gateway bridges the local and the global network. Sensor messages can be forwarded via email and SMS or be provided by a web server.

Keywords

Internet of Things Machine-to-Machine Communications Ubiquitous Computing Wireless Sensor Networks 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Open Geospatial Consortium, http://www.opengeospatial.org/
  2. 2.
    Bowman, P., Ng, J., Harrison, M., López, T.S., Illic, A.: Sensor based condition monitoring. BRIDGE (2009), http://www.bridge-project.eu/data/File/BRIDGE_WP03_sensor_based_condition_monitoring.pdf
  3. 3.
  4. 4.
    Kim, H., Ryu, W., Hong, B.: Extension of RFID Middleware Platform for Handling Active Sensor Tags. In: Proceedings of the 2010 Fourth International Conference on Sensor Technologies and Applications, pp. 163–168. IEEE Computer Society (2010)Google Scholar
  5. 5.
    Aberer, K., Hauswirth, M., Salehi, A.: Global Sensor Networks, Technical report LSIRREPORT- 2006-001 (2006), http://lsirpeople.epfl.ch/salehi/papers/LSIR-REPORT-2006-001.pdf
  6. 6.
    Jaekyu, C., Yoonbo, S., Taekyoung, K., Yanghee, C.: SARIF: A novel framework for integrating wireless sensor and RFID networks. IEEE Wirel. Commun. 14(6), 50–56 (2007)CrossRefGoogle Scholar
  7. 7.
  8. 8.
    Palafox-Albarrán, J., Jedermann, R., Lang, W.: Energy-Efficient Parameter Adaptation and Prediction Algorithms for the Estimation of Temperature Development Inside a Food Container. In: Cetto, J.A., Ferrier, J.-L., Filipe, J. (eds.) Informatics in Control, Automation and Robotics, pp. 77–90. Springer, Berlin (2011)CrossRefGoogle Scholar
  9. 9.
  10. 10.
    Verdone, R.: Wireless sensor and actuator networks: technologies, analysis and design. Academic Press (2008)Google Scholar
  11. 11.
    Sun Labs.: SunTM Small Programmable Object Technology (Sun SPOT) Theory of Operation (2007), http://sunspotworld.com/docs/Purple/SunSPOT-TheoryOfOperation.pdf
  12. 12.
    Haller, S., Hodges, S.: White Paper: The Need for a Universal SmartSensor Network. Auto-ID Centre Institute for Manufacturing, University of Cambridge (2002)Google Scholar
  13. 13.
    Mitsugi, J., Inaba, T., Pátkai, B., Theodorou, L., Sung, J., Sánchez López, T., Kim, D., McFarlane, D., Hada, H., Kawakita, Y., Osaka, K., Nakamura, O.: Architecture Development for Sensor Integration in the EPCglobal Network. Auto-ID Centre Institute for Manufacturing, University of Cambridge (2007)Google Scholar
  14. 14.
    Uckelmann, D., Harrison, M., Michahelles, F.: An Architectural Approach Towards the Future Internet of Things. In: Uckelmann, D., Harrison, M., Michahelles, F. (eds.) Architecting the Internet of Things, pp. 1–24. Springer, Berlin (2011)CrossRefGoogle Scholar
  15. 15.
    Jedermann, R., Moehrke, A., Lang, W.: Supervision of banana transport by the intelligent container. In: Kreyenschmidt, J. (ed.) 4th International Workshop, Coolchain-Management, pp. 75–84. University Bonn, Bonn (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Javier Palafox-Albarran
    • 1
    • 2
  • Alexander Dannies
    • 1
  • Bala Krishna Sanjeeva
    • 1
  • Walter Lang
    • 1
  • Reiner Jedermann
    • 1
  1. 1.Institute for Microsensors, -actuators and -systems (IMSAS)University of BremenBremenGermany
  2. 2.International Graduate School for Dynamics in LogisticsUniversity of BremenBremenGermany

Personalised recommendations