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The Internet of Things pp 105–122Cite as

The Benefits of Embedded Intelligence – Tasks and Applications for Ubiquitous Computing in Logistics

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 4952)

Abstract

The concept of autonomous cooperating processes is an approach to solve complex logistical planning tasks by representing each object in the transport chain by a separate independent software unit. In general, these software units or agents are applied in a server network. Technologies from the field of the Internet of Things like wireless communication and RFID enable that software execution can be shifted to deeper system layers, even at the level of single freight items. This article examines the ancillary conditions and consequences of this shift. It focuses on whether the introduction of the intelligent parcel or vehicle is advantageous compared to server based planning. The second half of this article describes transport logistic examples for networks of autonomous objects with embedded intelligence.

Keywords

  • Sensor Node
  • Wireless Sensor Network
  • Shelf Life
  • Information Path
  • Electronic Product Code

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Authors and Affiliations

  1. Institute for Microsensors, actors and systems, University of Bremen, FB1, Otto-Hahn-Allee NW1, D-28359, Bremen, Germany

    Reiner Jedermann & Walter Lang

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  1. Reiner Jedermann
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  2. Walter Lang
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    © 2008 Springer-Verlag Berlin Heidelberg

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    Jedermann, R., Lang, W. (2008). The Benefits of Embedded Intelligence – Tasks and Applications for Ubiquitous Computing in Logistics. In: Floerkemeier, C., Langheinrich, M., Fleisch, E., Mattern, F., Sarma, S.E. (eds) The Internet of Things. Lecture Notes in Computer Science, vol 4952. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78731-0_7

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    • DOI: https://doi.org/10.1007/978-3-540-78731-0_7

    • Publisher Name: Springer, Berlin, Heidelberg

    • Print ISBN: 978-3-540-78730-3

    • Online ISBN: 978-3-540-78731-0

    • eBook Packages: Computer ScienceComputer Science (R0)

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