Adaptation and Improvement of the Link, Network and Application Layers for a WSN Based on TinyOS-2.1.1

  • Antonio Rosa RodriguezEmail author
  • Francisco J. Fernandez-Luque
  • Juan Zapata
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 153)


Due to the increasing interest in collecting data related to physical activity habits and behavior of people, wireless sensor networks have emerged as one of the most appropriate technologies for applications that focus on the interest of health care and assisted living. DIA system (in Spanish, Dispositivo Inteligente de Alerta) has developed devices which detect behavior patterns from their users and use them to take alert actions when happen significant variations on these patterns. To sum up, DIA deploys a minimum set of sensors with sensory capabilities via wireless communications interface and according to a predefined semantics. In this paper, we prolong the battery life of wireless devices DIA by means, firstly optimizing the energy consumption of its communications, secondly adapting the firmware that performs the monitoring tasks and processing the information acquired by wireless devices, keeping or improving the quality of service provided. For this, we have used source code libraries that provide a complete source code communication protocol stack and TinyOS-2.1.1 as operative system.


Sensor Network Sensor Node Wireless Sensor Network Application Layer Network Protocol 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    IEEE 802.15.4 WPAN-LR Task Group Website,
  2. 2.
    Zheng, J., Lee, M.J.: A comprehensive performance study of IEEE 802.15.4. Sensor Network Operations, 218–237 (2006)Google Scholar
  3. 3.
    Ambiental Intelligence & Interaction S.L.L. System DIA,
  4. 4.
    Luque, F.J.F.: Wireless Sensor Network System for Assisted Living Home, UPCT (2009)Google Scholar
  5. 5.
    Crossbow Technology. MoteWorks Getting Started Guide,
  6. 6.
  7. 7.
  8. 8.
    TinyOS Documentation Wiki. TinyOS Web,
  9. 9.
    Polastre, J., Hill, J., Culler, D.: Versatile Low Power Media Access for Wireless Sensor Networks. University of California, Berkeley (2006)Google Scholar
  10. 10.
    Network Working Group. Ad hoc On-Demand Distance Vector Routing. RFC 3561. IETF (2003),
  11. 11.
    Chakeres, I.D., Perkins, C.E.: Dynamic MANET On-demand (DYMO) Routing draft-ietf-manet-dymo-04. Mobile Ad hoc Networks Working (2006),
  12. 12.
    Thouvenin, R.: Implementing and Evaluating the Dynamic Manet On-demand Protocol in Wireless Sensor Networks. University of Aarhus Department of Computer Science (2007),
  13. 13.
    Buettner, M., Yee, G., Anderson, E., Han, R.: X-MAC: A Short Preamble MAC Protocol For Duty-Cycled Wireless Sensor Networks. Department of Computer Science University of Colorado at Boulder (May 2006)Google Scholar
  14. 14.
    Moss, D., Levis, P.: BoX-MACs: Exploiting Physical and Link Layer Boundaries in Low-Power Networking. Rincon Research Corporation, Computer Systems Laboratory Stanford University Stanford, CA (2010)Google Scholar
  15. 15.
    nesC: A Programming Language for Deeply Networked Systems,
  16. 16.
    AT86RF230: Low Power 2.4GHz Transceiver for ZigBee, IEEE 802.15.4, 6LoWPAN, RF4CE and ISM Applications (February 2009),

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Antonio Rosa Rodriguez
    • 1
    Email author
  • Francisco J. Fernandez-Luque
    • 1
  • Juan Zapata
    • 1
  1. 1.School of TelecommunicationsUniversidad Politécnica de CartagenaCartagenaSpain

Personalised recommendations