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Low-power Wireless Sensor Network Platforms

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Abstract

Wireless sensor network (WSN) is a technology comprising even thousands of autonomic and self-organizing nodes that combine environmental sensing, data processing, and wireless multihop ad-hoc networking. The features of WSNs enable monitoring, object tracking, and control functionality. The potential applications include environmental and condition monitoring, home automation, security and alarm systems, industrial monitoring and control, military reconnaissance and targeting, and interactive games. This chapter describes low-power WSN as a platform for signal processing by presenting theWSN services that can be used as building blocks for the applications. It explains the implications of resource constraints and expected performance in terms of throughput, reliability and latency.

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Authors and Affiliations

  1. Department of Computer Systems, Tampere University of Technology, 553, FI-33101, Tampere, Finland

    Jukka Suhonen, Mikko Kohvakka, Ville Kaseva, Timo D. Hämäläinen & Marko Hännikäinen

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  1. Jukka Suhonen
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  2. Mikko Kohvakka
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  3. Ville Kaseva
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  4. Timo D. Hämäläinen
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  5. Marko Hännikäinen
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Correspondence to Jukka Suhonen .

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Editors and Affiliations

  1. , Dept. of Electrical and, University of Maryland, A. V. Williams Bldg. 2311, College Park, 20742, Maryland, USA

    Shuvra S. Bhattacharyya

  2. Leiden Inst. Advanced Computer Science, Leiden Embedded Research Center, Leiden University, Niels Bohrweg 1, Leiden, 2333 CA, Netherlands

    Ed F. Deprettere

  3. RWTH Aachen University, Templergraben 55, Aachen, 52056, Germany

    Rainer Leupers

  4. , Department of Computer Systems, Tampere University of Technology, Korkeakoulunkatu 1, Tampere, 33720, Finland

    Jarmo Takala

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Suhonen, J., Kohvakka, M., Kaseva, V., Hämäläinen, T.D., Hännikäinen, M. (2010). Low-power Wireless Sensor Network Platforms. In: Bhattacharyya, S., Deprettere, E., Leupers, R., Takala, J. (eds) Handbook of Signal Processing Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-6345-1_6

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