Skip to main content
Springer Nature Link
Log in

Energy Consumption of Polar Codes for Wireless Sensor Networks

  • Conference paper
  • First Online:
Wireless Internet (WiCON 2017)

Included in the following conference series:

  • 913 Accesses

Abstract

Internet of Things (IoT) is becoming a strong force driving the evolution of mobile communications. Wireless sensor networks (WSN) are important parts of IoT. Link reliability and power consumption are two critical design constraints in WSN designs. Error control coding (ECC) is a classic approach to increase link reliability and thus to lower the required transmitting power, however typically at the cost of an increased decoding complexity and power. The idea of this paper is to assess the potentials of applying polar codes to WSNs. For comparison, the well developed Turbo and LDPC codes are studied in terms of the error performance and the power consumption. The results in this paper show that when the ratio of the transmitting power over the decoding power is smaller than 2.5, applying polar codes is favorable in terms of the power consumption compared with Turbo and LDPC codes at the same BER performance. When this ratio is larger than 2.5, polar codes are almost the same as Turbo and LDPC codes in terms of the energy consumption.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. White paper on 5G concept: IMT-2020(5G) Promotion Group, February 2015

    Google Scholar 

  2. Lin, S., Costello, D.J.: Error Control Coding. Pearson Prentice Hall, Upper Saddle River (2004)

    MATH  Google Scholar 

  3. Kashani, Z.H., Shiva, M.: BCH coding and muti-hop communication in wireless sensor networks. In: IFIP International Conference on Wireless and Optical Communications Networks, pp. 1–5, April 2006

    Google Scholar 

  4. Kashani, Z.H., Shiva, M.: Channel coding in multi-hop wireless sensor networks. In: 2006 6th International Conference on ITS Telecommunications Proceedings, June 2006

    Google Scholar 

  5. Sankarasubramaniam, Y., Akyildiz, I.F., McLaughlin, S.W.: Energy efficiency-based packet size optimization in wireless sensor networks. In: IEEE International Workshop on Sensor Networks Protocols and Applications, May 2003

    Google Scholar 

  6. Vasudevan, S., Goeckel, D., Towsley, D.: Optimal power allocation in channel-coded wireless networks. In: Allerton Conference on Communication, Control and Computing, September 2004

    Google Scholar 

  7. Lettieri, P., Fragouli, C., Srivastava, M.B.: Low power error control for wireless links. In: 3rd Annual ACM/IEEE International Conference on Mobile Computing and Networking (MOBICOM 1997), pp. 139–150, September 1997

    Google Scholar 

  8. Shih, E., Cho, S., Lee, F.S., Calhoun, B.H., Chandrakasan, A.: Design considerations for energy-efficient radios in wireless microsesor networks. J. VLSI Sig. Process. Syst. Sig. Image Video Technol. 37(1), 77–94 (2004)

    Article  Google Scholar 

  9. Grover, P., Woyach, K., Sahai, A.: Towards a communication-theoretic understanding of system-level power consumption. IEEE J. Sel. Areas Commun. 29(8), 1744–1755 (2011)

    Article  Google Scholar 

  10. Arikan, E.: Channel polarization: a method for constructing capacity-achieving codes for symmetric binary-input memoryless channels. IEEE Trans. Inf. Theory 55(7), 3051–3073 (2009)

    Article  MathSciNet  Google Scholar 

  11. Sarkis, G., Giard, P., Vardy, A., Thibeault, C., Gross, W.J.: Hardware implementation of successive-cancellation decoders for polar codes. IEEE J. Sel. Areas Commun. 32(5), 946–957 (2014)

    Article  Google Scholar 

  12. Berrou, C., Glavieux, A.: Near optimum error correcting coding and decoding turbocodes. IEEE Trans. Commun. 44(10), 1261–1271 (1996)

    Article  Google Scholar 

  13. Gallager, R.G.: Low Density Parity Check Codes. MIT Press, Cambridge (1963). Monograph. Accessed Aug 2013

    MATH  Google Scholar 

  14. MacKay, D.J.C., Neal, R.M.: Near Shannon limit performance of low density parity check codes. Electron. Lett. 33(6), 457–458 (1997)

    Article  Google Scholar 

  15. Arikan, E.: Systematic polar coding. IEEE Commun. Lett. 15(8), 860–862 (2011)

    Article  Google Scholar 

  16. Tal, I., Vardy, A.: How to construct polar codes. IEEE Trans. Inf. Theory 59(10), 6562–6582 (2013)

    Article  MathSciNet  Google Scholar 

  17. Zhang, Z., Anantharam, V., Wainwright, M.J., Nikolic, B.: An efficient 10GBASE-T ethernet LDPC decoder design with low error floors. IEEE J. Solid-State Circ. 45(4), 843–855 (2010)

    Article  Google Scholar 

Download references

Acknowledgement

This work was supported in part by National Natural Science Foundation of China through grant 61501002, in part by Natural Science Project of Ministry of Education of Anhui through grant KJ2015A102, in part by the Key Laboratory Project of the Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education of China, Anhui University, in part by Talents Recruitment Program of Anhui University.

Author information

Authors and Affiliations

  1. Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education of China, Anhui University, Hefei, China

    Liping Li, Quanyv Wang & Yanjun Hu

  2. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

    Chuan Zhang

Authors
  1. Liping Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Quanyv Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yanjun Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Chuan Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Liping Li .

Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, Memorial University, St. John’s, Newfoundland and Labrador, Canada

    Cheng Li

  2. Electrical and Computer Engineering, Auburn University, Auburn, Alabama, USA

    Shiwen Mao

Rights and permissions

Reprints and permissions

Copyright information

© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Li, L., Wang, Q., Hu, Y., Zhang, C. (2018). Energy Consumption of Polar Codes for Wireless Sensor Networks. In: Li, C., Mao, S. (eds) Wireless Internet. WiCON 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 230. Springer, Cham. https://doi.org/10.1007/978-3-319-90802-1_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-90802-1_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-90801-4

  • Online ISBN: 978-3-319-90802-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation