Skip to main content

Link Quality-Based Channel Selection for Resource Constrained WSNs

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6646))

Abstract

Wireless Sensor Networks (WSN) consist of autonomous and intelligent nodes that combine sensing, actuation, and distributed computing with small size and low energy. One of the major issues is overcoming the non-ideality of unreliable real-world wireless links and avoiding interferences. This paper presents a link quality-based lightweight channel selection mechanism that discovers low interference and lightly loaded channels, thus improving latency, reliability, and throughput. The mechanism grades a channel from link reliability and changes the channel on interference. The proposed selection is suitable for resource and energy constrained WSNs as it does not require any extra communication or channel sensing. The channel selection is implemented with a low energy 2.4 GHz multihop mesh WSN using 1 mW transmission power. In practical measurements in a typical office environment with 100 mW WLAN interference, the selection had 96% average link reliability compared to the 84% of randomized channel selection.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ansari, J., Mähönen, P.: Channel selection in spectrum agile and cognitive mac protocols for wireless sensor networks. In: Proceedings of the 8th ACM International Workshop on Mobility Management and Wireless Access, MobiWac 2010, pp. 83–90. ACM, New York (2010)

    Google Scholar 

  2. Gnawali, O., Yarvis, M., Heidemann, J., Govindan, R.: Interaction of retransmission, blacklisting, and routing metrics for reliability in sensor network routing. In: First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON), pp. 34–43 (October 2004)

    Google Scholar 

  3. ISA: Wireless systems for industrial automation: Process control and related applications (2009), ISA-100.11a-2009

    Google Scholar 

  4. ISO/IEC 8802-11, IEEE Std 802.11 Second Edition: Information technology - telecommunications and information exchange between systems - local and metropolitan area networks - specific requirements part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications (August 2005)

    Google Scholar 

  5. Jin, F., Choi, H.A., Subramaniam, S.: Hardware-aware communication protocols in low energy wireless sensor networks. In: IEEE Military Communications Conference (MILCOM), vol. 1, pp. 676–681 (October 2003)

    Google Scholar 

  6. Kohvakka, M., Suhonen, J., Hännikäinen, M., Hämäläinen, T.D.: Transmission power based path loss metering for wireless sensor networks. In: 17th Int’l Symposium on Personal, Indoor and Mobile Radio Communications, pp. 1–5 (September 2006)

    Google Scholar 

  7. Kohvakka, M., Suhonen, J., Hämäläinen, T.D., Hännikäinen, M.: Energy-efficient reservation-based medium access control protocol for wireless sensor networks. EURASIP Journal on Wireless Communications and Networking, 20 pages (2010)

    Google Scholar 

  8. Liu, T., Kamthe, A., Jiang, L., Cerpa, A.: Performance evaluation of link quality estimation metrics for static multihop wireless sensor networks. In: 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), pp. 1–9 (June 2009)

    Google Scholar 

  9. Nelakuditi, S., Lee, S., Yu, Y., Wang, J., Zhong, Z., Lu, G.H., Zhang, Z.L.: Blacklist-aided forwarding in static multihop wireless networks. In: 2nd Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, pp. 252–262 (September 2005)

    Google Scholar 

  10. Ortiz, J., Culler, D.: Multichannel reliability assessment in real world wsns. In: Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), pp. 162–173. ACM, New York (2010)

    Chapter  Google Scholar 

  11. Son, D., Krishnamachari, B., Heidemann, J.: Experimental study of the effects of transmission power control and blacklisting in wireless sensor networks. In: First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON), pp. 289–298 (October 2004)

    Google Scholar 

  12. Song, J., et al.: WirelessHART: Applying wireless technology in real-time industrial process control. In: Real-Time and Embedded Techology and Applications Symposium (RTAS), pp. 377–386 (2008)

    Google Scholar 

  13. Srinivasan, K., Levis, P.: Rssi is under appreciated. In: The Third Workshop on Embedded Networked Sensors (EmNets) (May 2006)

    Google Scholar 

  14. Suhonen, J., Kuorilehto, M., Hännikäinen, M., Hämäläinen, T.D.: Cost-aware dynamic routing protocol for wireless sensor networks - design and prototype experiments. In: 17th International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 1–5 (September 2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hänninen, M., Suhonen, J., Hämäläinen, T.D., Hännikäinen, M. (2011). Link Quality-Based Channel Selection for Resource Constrained WSNs. In: Riekki, J., Ylianttila, M., Guo, M. (eds) Advances in Grid and Pervasive Computing. GPC 2011. Lecture Notes in Computer Science, vol 6646. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20754-9_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-20754-9_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20753-2

  • Online ISBN: 978-3-642-20754-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics