Abstract
The retail store environment is a challenging application area for Pervasive Computing technologies. It has demanding base conditions due to the number and complexity of the interdependent processes involved. We present first results of an ongoing study with dm-drogerie markt, a large chemist’s retailer, that indicate that supporting product monitoring tasks with novel pervasive technology is useful but still needs technical advances. Based on this study, we uncover problems that occur when using identification technology (such as RFID) for product monitoring. The individual identification struggles with data overload and inefficient channel access due to the high number of tags involved. We address these problems with the concept of Radio Channel Computing, combining approaches from information theory, such as the method of types and multiple access adder channels. We realise data pre-processing on the physical layer and significantly improve response time and scalability. With mathematical formulation, simulations and a real world implementation, we evaluate and prove the usefulness of the proposed system.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Metro group - future store initiative (Website, accessed: October 2004), http://www.future-store.org
Decker, C., Kubach, U., Beigl, M.: Revealing the retail black box by interaction sensing. In: Proceedings of the ICDCS /IWSAWC, Providence, USA (2003)
Infratab Inc. (Website accessed: October 2004), http://www.infratab.com/
RFID Journal. Rfid tags for monitoring shelf life (Website accessed, October 2004), http://www.rfidjournal.com/article/articleview/428/1/1/
ISO/IEC/JTC 1/SC 17. Identification cards - contactless integrated circuit(s) cards - vicinity cards (2001)
ISO/IEC/JTC 1/ SC 31/WG 4. Automatic identification - radio frequency identification for item management communications and interfaces part 3: Physical layer, anti collision system and protocol values at 13.56 mhz mode 2 (2001)
Epcglobal Inc. (Website, accessed: September 2004), http://www.epcglobalinc.org/
Murdoch, G., Frost, T.: A comparison of the iso15693 and iso18000-3 mode 5 magellan protocol (2001)
RFID Journal. Magellan unveils tunnel reader (Website, accessed September 2004), http://breakwww.rfidjournal.com/article/articleview/445/1/1/
Magellan Technology Pty. Ltd. (Website, accessed: September 2004), http://www.magtech.com.au/
Vogt, H.: Multiple object identification with passive rfid tags. In: IEEE International Conference on Systems, Man and Cybernetics (SMC 2002) (October 2002)
Finkenzeller, K.: RFID-Handbuch. Carl Hanser Verlag München Wien (2000)
Csiszár, I.: The method of types. IEEE Transactions on Informatio theory 44(6) (1988)
Shannon, C.E., Weaver, W.: The mathematical theory of communication. University of Illinois Press, US (1949)
de Laval, P., Abdul-Jabbar, S.: Decoding of superimposed codes in multiaccess communication. In: 8th European Conference on Area Communication, EUROCON (1988)
Kautz, W.H., Singleton, R.C.: Nonrandom binary superimposed codes. IEEE Transaction on Information theory (1964)
Bar-David, I., Plotnik, E., Rom, R.: Limitations of the capacity of the m-user binary adder channel due to physical considerations. IEEE Transaction on Information Theory 40(3), 662–673 (1994)
Liu, K., Sayeed, A.: Optimal distributed detection strategies for wireless sensor networks. In: 42nd Annual Allerton Conference on Communications, Control and Computing (2004)
Krohn, A., Beigl, M., Wendhack, S.: SDJS: Efficient statistics for wireless networks. In: Proceedings of the 12th IEEE International Conference on Network Protocols, Berlin, Germany (2004)
Decker, C., Krohn, A., Beigl, M., Zimmer, T.: The Particle Computer System. In: IPSN Track on Sensor Platform, Tools and Design Methods for Networked Embedded Systems (SPOTS). Proceedings of the ACM/IEEE Fourth International Conference on Information Processing in Sensor Networks, Los Angeles, USA (2005) (to appear)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Krohn, A., Zimmer, T., Beigl, M., Decker, C. (2005). Collaborative Sensing in a Retail Store Using Synchronous Distributed Jam Signalling. In: Gellersen, H.W., Want, R., Schmidt, A. (eds) Pervasive Computing. Pervasive 2005. Lecture Notes in Computer Science, vol 3468. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11428572_15
Download citation
DOI: https://doi.org/10.1007/11428572_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26008-0
Online ISBN: 978-3-540-32034-0
eBook Packages: Computer ScienceComputer Science (R0)