Skip to main content

Throughput Study of Low-Rate Communications

  • Chapter
  • First Online:
  • 815 Accesses

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 316))

Abstract

As known the WSN application have many of challenges, the most important one of them is the power. The challenge of minimizing transmit power is deserved to be the most critical parameter for a low-power WSN, whose battery lifetime is dependent on power consumption. Therefore all transmit power and energy calculations use the minimum required transmit power and energy. In a low-power WSN scenario, transmitting with as much power as possible, up to regulatory limits, is not desirable. Rather, transmitting with as little power as possible, so as to extend sensor battery life, while maintaining a minimum required SNR, is our goal. Similar to a deep space satellite scenario, the low-power WSN is far more power-constrained than bandwidth-constrained. In order to achieve power efficiency, we are willing to sacrifice spectral efficiency.

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   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
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

Learn about institutional subscriptions

References

  1. Galli S, Famolari D, Kodama T (2004) Bluetooth: channel coding considerations. In: IEEE 59th vehicular technology conference, pp 2605–2609

    Google Scholar 

  2. Golmie N, Van Dck RE, Soltanian A (2001) Interference of Bluetooth and IEEE 802.11: simulation modeling and performance evaluation. In: Proceedings ACM international workshop on modeling, analysis, and simulation of wireless and mobile systems, Italy

    Google Scholar 

  3. Gutierrez JA, Naeve M, Callaway E, Bourgeois M, Mitter V, Heile B (2001) A developing standard for low-power low-cost wireless personal area networks. IEEE Netw 15(5):12–19

    Article  Google Scholar 

  4. Mohamed MAM, Abou El-Azm A, El-Fishwy N, El-Tokhy MAR, Abd El-Samie FE (2008) Optimization of Bluetooth packet format for efficient performance. Progr Electromagn Res M 1:101–110

    Article  Google Scholar 

  5. Meghanathan N (2009) Impact of range of simulation time and network shape on the hop count and stability of routes in mobile ad hoc networks. IENG Int J Comput Sci. Advanced online publication, 36:1–01

    Google Scholar 

  6. Mohamed MAM, Abou El-Azm A, El-Fishawy NA, El-Tokhy MAR, Shawky F, Abd El-Samie FE (2008) Bluetooth performance improvement using convolutional codes. In: Proceedings of the 2nd international conference on electrical systems design & technologies, Hammamet, 8–10 Nov 2008

    Google Scholar 

  7. Mohamed MAM, Abou El-Azm A, El-Fishawy NA, El-Tokhy MAR, Shawky F, Abd El-Samie FE (2008) Bluetooth performance improvement over different channels through channel coding. In: Proceedings of the 5th international multi-IEEE conference on systems, signals and devices, Jordan

    Google Scholar 

  8. Vafi S, Wysocki T (2005) Performance of convolutional interleavers with different spacing parameters in turbo codes. In: Proceedings of the 6th Australian workshop on communications theory. Brisbane, Qld pp 8–12

    Google Scholar 

  9. NguyenVD, Kuchenbecker H (2001) Block interleaving for soft decision viterbi decoding in OFDM systems. In: IEEE 54th VTC Fall, vol 1, pp 470–474

    Google Scholar 

  10. Shi YQ, Zhang XM, Ni Z-C, Ansari N (2004) Interleaving for combating error bursts. IEEE Circuit Syst Mag 4:29–42, First Quarter

    Article  Google Scholar 

  11. Farag EN, Elmasry MI (1999) Mixed signal VLSI wireless design circuits and system, 1st edn. Kluwer Springer, Circuits and Systems

    Google Scholar 

  12. Vafi S, Wysocki TA (2006) Application of convolutional interleavers in turbo codes with unequal error protection. JTIT, J Telecommun Inf Technol, 1:17–23

    Google Scholar 

  13. Visotsky E, Sun Y, Tripathi V, Honig ML, Peterson R (2005) Reliability-based incremental redundancy with convolutional codes. IEEE Trans Commun 53(6):987–997

    Google Scholar 

  14. Chiara B, Flavio V, Roberto V (2009) Area throughput of an IEEE 802.15.4 based wireless sensor network. In: EWSN –09 Proceedings of the 6th European Conference on WSN, Springer-Verlag, Berlin, Heidelberg, pp 1–16

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer Japan

About this chapter

Cite this chapter

El-Bendary, M.A.M. (2015). Throughput Study of Low-Rate Communications. In: Developing Security Tools of WSN and WBAN Networks Applications. Lecture Notes in Electrical Engineering, vol 316. Springer, Tokyo. https://doi.org/10.1007/978-4-431-55069-3_4

Download citation

  • DOI: https://doi.org/10.1007/978-4-431-55069-3_4

  • Published:

  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-55068-6

  • Online ISBN: 978-4-431-55069-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics