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Tool-Aided Design and Implementation of Indoor Surveillance Wireless Sensor Network

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Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS 2007)

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Abstract

This paper presents the design and implementation of an indoor surveillance Wireless Sensor Network (WSN) using tools for hastening and facilitating the different phases in the WSN development. First, the application case is described in WISENES (WIreless SEnsor NEtwork Simulator) framework by four models, which define application, communication, node, and environment. WISENES enables a graphical design of the models combined with accurate simulations for performance evaluation. Next, surveillance application tasks and communication protocols are implemented on node platforms on top of SensorOS Operating System (OS). A congruent programming model of SensorOS allows a straightforward mapping of WISENES models to the final implementation. The evaluation of the indoor surveillance WSN implemented with Tampere University of Technology WSN (TUTWSN) protocols and platforms reaches a lifetime in order of years while still ensuring reactive operation. Further, the results show only 9.5 % and 6.6 % differences in simulated and measured networking delay and power consumption, respectively. Our results indicate that accurate early design phase simulations can relieve the burden of prototyping and low level implementation by a realistic configuration evaluation during design time.

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Stamatis Vassiliadis Mladen Bereković Timo D. Hämäläinen

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Kuorilehto, M., Suhonen, J., Hännikäinen, M., Hämäläinen, T.D. (2007). Tool-Aided Design and Implementation of Indoor Surveillance Wireless Sensor Network. In: Vassiliadis, S., Bereković, M., Hämäläinen, T.D. (eds) Embedded Computer Systems: Architectures, Modeling, and Simulation. SAMOS 2007. Lecture Notes in Computer Science, vol 4599. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73625-7_41

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  • DOI: https://doi.org/10.1007/978-3-540-73625-7_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73622-6

  • Online ISBN: 978-3-540-73625-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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