Skip to main content
SpringerLink
Log in

An Energy-Efficient Data Gathering Scheme for Unreliable Wireless Sensor Networks Using Compressed Sensing

  • Conference paper
  • First Online:
Advances in Wireless Sensor Networks (CWSN 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 501))

Included in the following conference series:

  • 1309 Accesses

Abstract

The main task of wireless sensor network (WSN) is to collect data from the environment. Sensor nodes usually are powered by batteries with extremely limited energy, which makes energy conservation critical for a WSN to run longer. The energy-efficient Data Gathering Scheme based on Compressed Sensing (DGS-CS) is presented, which enables the sensor nodes to efficiently and evenly expend energy so that the lifetime of the WSN is prolonged. The maximum, minimum, and average energy consumptions of the proposed DGS-CS and those of the Traditional Routing Scheme (TRS) are derived. The numeric analysis shows the proposed DGS-CS outperform the TRS in terms of 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
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 EPUB and 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

Institutional subscriptions

References

  1. Heinzelman, W.B., Balakrishnan, H.: An application-specific protocol architecture for wireless microsensor networks. IEEE Trans. Wireless Commun. 1(4), 660–670 (2002)

    Article  Google Scholar 

  2. Younis, O.: HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Trans. Mob. Comput. 3(4), 366–379 (2004)

    Article  Google Scholar 

  3. Manjeshwar, A., Agrawal, D.P.: TEEN: A routing protocol for enhanced efficiency in wireless sensor networks. In: Proceedings of 15th International Parallel and Distributed Processing Symposium, pp. 2009–2015 (2000)

    Google Scholar 

  4. Donoho, D.L.: Compressed sensing. IEEE Trans. Inf. Theory 52(4), 1289–1306 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  5. Cand’es, E., Romberg, J., Tao, T.: Robust uncertainty principles: exact signal reconstruction from highly incomplete fourier information. IEEE Trans. Inf. Theory 52(2), 489–509 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  6. Candes, E.: An introduction to compressive sampling. IEEE Sig. Process. Mag. 25(2), 21–30 (2008)

    Article  Google Scholar 

  7. Candes, E., Romberg, J., Tao, T.: Stable signal recovery from incomplete and inaccurate measurements. Commun. Pure Appl. Math. 59(8), 1207–1223 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  8. Haupt, J., Bajwa, W.: Compressed sensing for networked data. IEEE Sig. Process. Mag. 25(2), 92–101 (2008)

    Article  Google Scholar 

  9. Luo, C., Wu. F.: Compressive data gathering for large-scale wireless sensor networks. In: Proceedings of the 15th Annual International Conference on Mobile Computing and Networking, pp. 145–156. ACM (2009)

    Google Scholar 

  10. Xiang L, Luo J. Compressed data aggregation for energy efficient wireless sensor networks. In: Proceedings of the 8th IEEE SECON, pp. 46–54 (2011)

    Google Scholar 

  11. Luo, J., Rosenberg, C.: Does compressed sensing improve the throughput of wireless sensor networks? IEEE Int. Conf. Commun. (ICC) 2010, 1–6 (2010)

    Google Scholar 

  12. Wang, X., Zheng, H., Xiao, S.: Capacity and delay analysis for data gathering with compressive sensing in wireless sensor networks. IEEE Trans. Wireless Commun. 12(2), 917–927 (2013)

    Article  Google Scholar 

  13. Xu, L., Wang, Y.: Major coefficients recovery: a compressed data gathering scheme for wireless sensor network. In: IEEE Global Telecommunications Conference (Globecom 2011), pp. 1–5 (2011)

    Google Scholar 

  14. Wu, X., Xiong, Y., Huang, W.: Distributed spatial-temporal compressive data gathering for large-scale WSNs. In: IEEE Computing, Communications and IT Applications Conference (IEEE ComComAp), pp. 105–110 (2013)

    Google Scholar 

  15. IEEE Computer Society. IEEE 802.15.4 Standard for Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (WPANs) (2006)

    Google Scholar 

  16. Candes, E.J., Tao, T.: Stable signal recovery from incomplete and inaccurate measurements [J]. Commun. Pure Appl. Math. 59(8), 1207–1223 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  17. Moussaoui, O., Naimi, M.: A distributed energy aware routing protocol for wireless sensor networks. In: Proceedings of the 2nd ACM International Workshop on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks, pp. 34–40 (2005)

    Google Scholar 

Download references

Acknowledgement

This project is supported in part by National Natural Science Foundation of China under Grants No. 61379124 and No. 61001126, in part by Ph.D. Programs Foundation of Ministry of Education of China under grant No. 20123317110002, and in part by Zhejiang Provincial Natural Science Foundation of China under grant number LY13F020031.

Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310023, Zhejiang, China

    Yi-hua Zhu, Yan-yan Wang & Kai-kai Chi

  2. College of Business Administration, Zhejiang University of Technology, Hangzhou, 310023, Zhejiang, China

    Lin Xu

Authors
  1. Yi-hua Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yan-yan Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kai-kai Chi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lin Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yi-hua Zhu .

Editor information

Editors and Affiliations

  1. Chinese Academy of Sciences, Beijing, China

    Limin Sun

  2. Beijing, China

    Huadong Ma

  3. Northwest University, Xi’an, China

    Dingyi Fang

  4. Northwest University, Xi’an, China

    Jinping Niu

  5. Northwest University, Xi’an, China

    Wei Wang

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhu, Yh., Wang, Yy., Chi, Kk., Xu, L. (2015). An Energy-Efficient Data Gathering Scheme for Unreliable Wireless Sensor Networks Using Compressed Sensing. In: Sun, L., Ma, H., Fang, D., Niu, J., Wang, W. (eds) Advances in Wireless Sensor Networks. CWSN 2014. Communications in Computer and Information Science, vol 501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46981-1_43

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-46981-1_43

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46980-4

  • Online ISBN: 978-3-662-46981-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Societies and partnerships

Search

Navigation