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Arne Bosien

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Dr.-Ing. Arne Bosien

I studied Computer Science and Engineering (Informatik-Ingenieurwesen) at Hamburg University of Technology from 2001 till 2007. Since then I'm employed as research assistant at the Institute of Telematics.


Arne Bosien. RFID-basierte Navigation für autonome Fahrzeuge. PhD Thesis, Hamburg University of Technology, Hamburg, Germany, 2012.
@PhdThesis{Telematik_Bosien_2012_Diss, author = {Arne Bosien}, title = {RFID-basierte Navigation f{\"u}r autonome Fahrzeuge}, publisher = {Books on Demand GmbH, Norderstedt, Germany}, school = {Hamburg University of Technology}, address = {Hamburg, Germany}, edition = {1st}, year = 2012, isbn = {978-3-8448-0979-4}, }
Abstract: In dieser Arbeit wurden die Möglichkeiten eines pheromonbasierten Navigationsverfahrens mittels wiederbeschreibbarer RFID-Tags untersucht. Im Gegensatz zu anderen Ansätzen wird hier auf eine eindeutige Fahrzeuglokalisierung verzichtet. Es wurden Algorithmen für die Navigation entwickelt und in einem Test-System evaluiert. Um eine höhere Fahrgeschwindigkeit zu erreichen, wurden Antikollisionsalgorithmen für das Inventory optimiert. Des Weiteren wurde ein neuer Inventory-Ansatz ausgearbeitet, der insbesondere für die untersuchten Navigationssysteme geeignet ist.
Arne Bosien, Volker Turau and Franco Zambonelli. Approaches to Fast Sequential Inventory and Path Following in RFID-enriched environments. International Journal of Radio Frequency Identification Technology and Applications, 4(1):28–48, 2012.
@Article{Telematik_BTZ_2012_RFID, author = {Arne Bosien and Volker Turau and Franco Zambonelli}, title = {Approaches to Fast Sequential Inventory and Path Following in RFID-enriched environments}, pages = {28-48}, journal = {International Journal of Radio Frequency Identification Technology and Applications}, volume = {4}, number = {1}, year = 2012, }
Abstract: Although RFID is mostly used for ticketing, e-passports and supply chain management applications, the technology is also suitable for transponder based navigation systems. There it can be applied to leave a virtual trace on writeable RFID tags. These applications use RFID in a different way, because the tags are stationary and related to each other, since each tag of the path points to the following one. This offers the possibility to develop more efficient algorithms for their detection. In this paper, we suggest to store the identifying masks of subsequent tag IDs on the tags. The approach can easily be used with query-tree anti-collision methods. We examine the requirements for such an approach and describe a concrete algorithm, which is simulated and compared with different anti-collision algorithms.
Arne Bosien and Volker Turau. RFID for Mobile Applications. In Proceedings of the Workshop on Self-Organizing Wireless Sensor and Communication Networks, October 2009, pp. 27–33. Hamburg, Germany.
@InProceedings{Telematik_SOMSED_2009_MOBILE_RFID, author = {Arne Bosien and Volker Turau}, title = {RFID for Mobile Applications}, booktitle = {Proceedings of the Workshop on Self-Organizing Wireless Sensor and Communication Networks}, pages = {27-33}, day = {8-9}, month = oct, year = 2009, location = {Hamburg, Germany}, }
Abstract: The availability of fast anti-collision algorithms is crucial for most RFID applications. This paper aims to evaluate these algorithms for applications in which it is not intended to identify the entirety of moving objects but to detect as much tags as needed to allow orientation. The navigation of Automated Guided Vehicles (AGV) by distributed landmarks is an example which clarifies the discriminative requirements compared to supply chain tasks. For the former purpose redundant information can be gained from different tags. This requires the detection of an application dependent percentage of all tags. Because AGVs are moving, the detection and read and write operations have to be close together and very fast, since repetitive communication is not always possible.

The complete list of publications is available separately.

Supervised Theses

Completed Theses