Advertisement

A Brief Outline of Computational Limitations on Actual Wireless Sensor Networks

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 195)

Abstract

This paper is related to the problem of low computational resources available on actual processing modules used in the nodes of wireless sensor networks, in the context of continuously increasing complexity of optimization algorithms, communication protocols and implemented services. The increase in complexity is driven by the efforts to conserve the energy and to enhance the network throughput but it is also caused by the evolution of these technologies toward the integration into the Internet of Things. The results obtained give an overview on the computational resources (computing time and memory size) necessary to perform the usual arithmetic operations using different representations of the operands on multiple platforms. These results are aimed to support the optimal selection of WSN platforms relatively to the computational effort required by specific application as well as the adaptation of the operations performed and of the related operands to a specified platform.

Keywords

WSN computational effort computational resources 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Atmel: 8-bit AVR Microcontroller with Low Power 2.4GHz Transceiver for ZigBee and IEEE 802.15.4 (2011), http://www.atmel.com/Images/8266S.pdf
  2. 2.
  3. 3.
    Freescale Semiconductor: MC1322x - Advanced ZigBeeTM- Compliant Platform-in-Package, PiP (2010), http://www.freescale.com/files/rf_if/doc/data_sheet/MC1322x.pdf
  4. 4.
    Redwire: Redbee 802.15.4 Module, http://www.redwirellc.com/store/node/3
  5. 5.
    Bischoff, R., Meyer, J., Feltrin, G.: Wireless Sensor Network Platforms. In: Boller, C., et al. (eds.) Encyclopedia of Structural Health Monitoring, pp. 1229–1238. John Wiley & Sons, Chichester (2009)Google Scholar
  6. 6.
    European Future Internet Portal, http://www.future-internet.eu/
  7. 7.
    Castellani, A.P., Bui, N., Casari, P., et al.: Architecture and Protocols for the Internet of Things: A Case Study. In: 8th IEEE Intl. Conf. on Pervasive Computing and Communication (PerCom 2010), pp. 678–683. IEEE Press (2010)Google Scholar
  8. 8.
    Shelby, Z., Borman, C.: 6LoWPAN: The Wireless Embedded Internet. John Wiley & Sons, Chichester (2009)Google Scholar
  9. 9.
    Valverde, J., Otero, A., Lopez, M., et al.: Using SRAM Based FPGAs for Power-Aware High Performance Wireless Sensor Networks. Sensors 12(3), 2667–2692 (2012)CrossRefGoogle Scholar
  10. 10.
  11. 11.
    TinyOS Documentation Wiki, http://docs.tinyos.net/tinywiki/
  12. 12.
    Gay, D., Levis, P., Culler, D., Brewer, E.: Nesc v1.1 Language Reference, http://nescc.sourceforge.net/papers/nesc-ref.pdf

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Politehnica University of TimisoaraTimisoaraRomania

Personalised recommendations