Skip to main content

Do We Really Need a Priori Link Quality Estimation?

  • Conference paper
  • First Online:
Real-World Wireless Sensor Networks

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 281))

  • 881 Accesses

Abstract

Traditionally, link quality estimation (LQE) has been viewed as an a priori step in sensor network routing protocols because it filters out unreliable links before data transmission. Recent results, however, show that protocols can perform well without a priori LQE. Because getting rid of LQE seems rather counter-intuitive, the aim of this work is to look deeper into the behavior of LQE-free protocols. Our results, based on one of the state-of-the-art LQE-free protocols, show two interesting insights. First, LQE-free protocols manage to choose links that are slightly better than the ones obtained with a priori LQE methods. Second, in traditional protocols, the effort needed to identify good links accounts, on average, for roughly half of the energy consumption of nodes, depending on the nodes’ active period and on the inter-packet interval. By eliminating this overhead, LQE-free protocols can save a significant amount of energy compared to standard approaches.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Gnawali, O., Fonseca, R., Jamieson, K., Moss, D., Levis, P.: Collection tree protocol. In: Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, pp. 1–14. ACM, New York (2009)

    Google Scholar 

  2. Puccinelli, D., Haenggi, M.: Reliable data delivery in large-scale low-power sensor networks. ACM Trans. Sens. Netw. (TOSN) 6(4), 28:1–28:41 (2010)

    Google Scholar 

  3. Moeller, S., Sridharan, A., Krishnamachari, B., Gnawali, O.: Routing without routes: The backpressure collection protocol. In: Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks, pp. 279–290. ACM, New York (2010)

    Google Scholar 

  4. Landsiedel, O., Ghadimi, E., Duquennoy, S., Johansson, M.: Low power, low delay: opportunistic routing meets duty cycling. In: Proceedings of the 11th ACM/IEEE International Conference on Information Processing in Sensor Networks, pp. 185–196. ACM, New York (2012)

    Google Scholar 

  5. Ferrari, F., Zimmerling, M., Mottola, L., Thiele, L.: Low-power wireless bus. In: Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems, pp. 1–14. ACM, New York (2012)

    Google Scholar 

  6. Puccinelli, D., Zúñiga, M., Giordano, S., Marrón, P.J.: Broadcast-free collection protocol. In: Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems, pp. 29–42. ACM, New York (2012)

    Google Scholar 

  7. Doddavenkatappa, M., Chan, M.C., Ananda, A.L.: Indriya: a low-cost, 3d wireless sensor network testbed. In: Testbeds and Research Infrastructure. Development of Networks and Communities. Springer pp. 302–316 (2012)

    Google Scholar 

  8. Moss, D., Levis, P.: BoX-MACs: Exploiting Physical and Link Layer Boundaries in Low-Power Networking. Technical Report SING-08-00, Stanford University (2008)

    Google Scholar 

  9. Puccinelli, D., Gnawali, O., Yoon, S., Santini, S., Colesanti, U., Giordano, S., Guibas, L.: The impact of network topology on collection performance. In: Wireless Sensor Networks, pp. 17–32. Springer, Heidelberg (2011)

    Google Scholar 

  10. Dunkels, A., Osterlind, F., Tsiftes, N., He, Z.: Software-based on-line energy estimation for sensor nodes. In: Proceedings of the 4th Workshop on Embedded Networked Sensors, pp. 28–32. ACM, New York (2007)

    Google Scholar 

  11. Baccour, N., Koubaa, A., Mottola, L., Zúñiga, M.A., Youssef, H., Boano, C.A., Alves, M.: Radio link quality estimation in wireless sensor networks: a survey. ACM Trans. Sens. Netw. (TOSN) 8(4), 34:1–34:33 (2012)

    Google Scholar 

  12. Alizai, M.H., Landsiedel, O., Link, J.Á.B., Götz, S., Wehrle, K.: Bursty traffic over bursty links. In: Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, pp. 71–84. ACM, New York (2009)

    Google Scholar 

  13. Boano, C.A., Voigt, T., Noda, C., Römer, K., Zúñiga, M.: JamLab: Augmenting sensornet testbeds with realistic and controlled interference generation. In: Proceedings of the 10th IEEE International Conference on Information Processing in Sensor Networks, pp. 175–186 (2011)

    Google Scholar 

Download references

Acknowledgments

We wish to thank our shepherd, Jason Gu, the anonymous reviewers, and the maintainers of publicly available testbeds. We gratefully acknowledge the TinyOS community and in particular all those researchers that have made their implementations available.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marco Zúñiga .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Vasilopoulos, V., Puccinelli, D., Zúñiga, M. (2014). Do We Really Need a Priori Link Quality Estimation?. In: Langendoen, K., Hu, W., Ferrari, F., Zimmerling, M., Mottola, L. (eds) Real-World Wireless Sensor Networks. Lecture Notes in Electrical Engineering, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-319-03071-5_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-03071-5_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03070-8

  • Online ISBN: 978-3-319-03071-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics