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AmICA – A Flexible, Compact, Easy-to-Program and Low-Power WSN Platform

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Mobile and Ubiquitous Systems: Computing, Networking, and Services (MobiQuitous 2010)

Abstract

In this paper, we present AmICA: a flexible, compact, easy-to-program, and low-power WSN platform. Developed from scratch and including a node, a basic communication protocol, and a debugging toolkit, it assists in a user-friendly rapid application development. Our analysis shows that AmICA nodes are 67% smaller than BTnodes, have five times more sensors than Mica2Dot and consume 72% less energy than the state-of-the-art TelosB mote in sleep mode.

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References

  1. UC Berkeley. Mica2Dot platform (2002), http://tinyos.net/scoop/special/hardware

  2. Beutel, J., Dyer, M., Hinz, M., Meier, L., Ringwald, M.: Next-generation prototyping of sensor networks. In: SenSys 2004: Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems, pp. 291–292. ACM, New York (2004)

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  3. Polastre, J., Szewczyk, R., Culler, D.: Telos: enabling ultra-low power wireless research, pp. 364–369 (April 2005)

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  4. Wille, S., Wehn, N., Martinovic, I., Kunz, S., Goehner, P.: Amica - design and implementation of a exible, compact, easy-to-program and low-power wsn platform. Technical report (October 2010), http://ems.eit.uni-kl.de/uploads/tx_uniklwehn/AmICATechReport2010.pdf

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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Wille, S., Wehn, N., Martinovic, I., Kunz, S., Göhner, P. (2012). AmICA – A Flexible, Compact, Easy-to-Program and Low-Power WSN Platform. In: Sénac, P., Ott, M., Seneviratne, A. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 73. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29154-8_45

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  • DOI: https://doi.org/10.1007/978-3-642-29154-8_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29153-1

  • Online ISBN: 978-3-642-29154-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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