Skip to main content

A Data Aggregation Based Efficient Clustering Scheme in Underwater Wireless Sensor Networks

  • Conference paper
Ubiquitous Information Technologies and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 280))

Abstract

The restricted underwater wireless sensor networks (UWSNs) such as large propagation delay, low bandwidth capacity, high bit error rates, mobility, limited memory as well as battery and so on pose many challenges for scientists doing UWSN construction. In this paper, we take into account of proposing a promised clustering scheme that can overcome the UWSN’s confined. Our proposed data aggregation based clustering scheme involves 4 phases: initial phase, cluster head election phase, clustering phase, and data aggregation phase. The main goals of our proposed include reducing the energy consumed of the overall network, increasing the throughput, and minimizing data redundancy while still guarantying data accuracy.

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 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Akyildiz, I.F., Pompili, D., Melodia, T.: Underwater acoustic sensor networks: research challenges. Ad Hoc Networks (Elsevier) 3, 257–279 (2005)

    Article  Google Scholar 

  2. Akyildiz, I.F., Pompili, D., Melodia, T.: State-of-the-art in protocol research for underwater acoustic sensor networks. In: Proceedings of the 1st ACM International Workshop on Underwater Networks (WUWNet 2006). ACM, New York (2006)

    Google Scholar 

  3. Akyildiz, I.F., Pompili, D., Melodia, T.: Challenges for Efficient Communication in Underwater Acoustic Sensor Networks. ACM Sigbed Review 1(2) (July 2004)

    Google Scholar 

  4. Domingo, M.C., Prior, R.: A Distributed Clustering Scheme for Underwater Wireless Sensor Networks. In: IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2007), pp. 1–5 (September 2007)

    Google Scholar 

  5. Manvi, S.S., Manjula, B.: Issues in underwater acoustic sensor networks. International Journal on Computer and Electrical Engineering 3(1), 101–111 (2011)

    Google Scholar 

  6. Yu, J.Y., Chong, P.H.J.: A survey of clustering schemes for mobile ad hoc networks. IEEE Communications Surveys & Tutorials 7(1), 32–48 (First Qtr. 2005)

    Google Scholar 

  7. Pu, W., Cheng, L., Jun, Z., Mouftah, H.T.: A Dependable Clustering Protocol for Survivable Underwater Sensor Networks. In: IEEE International Conference on Communications, pp. 3263–3268 (May 2008)

    Google Scholar 

  8. Manjula, R.B., Manvi, S.S.: Cluster based data aggregation in underwater acoustic sensor networks. 2012 Annual IEEE India Conference (INDICON), 104–109 (December 2012)

    Google Scholar 

  9. Salva-Garau, F., Stojanovic, M.: Multi-cluster protocol for ad hoc mobile underwater acoustic networks. In: Proceedings of the OCEANS 2003, vol. 1, pp. 91–98 (2003)

    Google Scholar 

  10. Yang, G., Xiao, M., Cheng, E., Zhang, J.: A Cluster-Head Selection Scheme for Underwater Acoustic Sensor Networks. In: International Conference on Communications and Mobile Computing (CMC), vol. 3, pp. 188–191 (April 2010)

    Google Scholar 

  11. Tran, K.T.-M., Oh, S.-H., Byun, J.-Y.: Well-Suited Similarity Functions for Data Aggregation in Cluster-Based Underwater Wireless Sensor Networks. International Journal of Distributed Sensor Networks 2013, Article ID 645243, 7 pages (2013)

    Google Scholar 

  12. Virmani, D., Sharma, T., Sharma, R.: Adaptive Energy Aware Data Aggregation Tree for Wireless Sensor Networks. International Journal of Hybrid Information Technology (IJHIT) 6(1), 25–36 (2013)

    Google Scholar 

  13. Maraiya, K., Kant, K., Gupta, N.: Wireless sensor network: A review on data aggregation. International Journal of Scientific and Engineering Research 2(4), 269–274 (2011)

    Google Scholar 

  14. LinkQuest, http://link-quest.com/html/uwm1000.htm

  15. Tran, K.T.M., Oh, S.H.: A cooperative MAC scheduling scheme for underwater sensor networks. Applied Mechanics and Materials 295-298, 903–908 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Khoa Thi-Minh Tran .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tran, K.TM., Oh, SH. (2014). A Data Aggregation Based Efficient Clustering Scheme in Underwater Wireless Sensor Networks. In: Jeong, YS., Park, YH., Hsu, CH., Park, J. (eds) Ubiquitous Information Technologies and Applications. Lecture Notes in Electrical Engineering, vol 280. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41671-2_69

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-41671-2_69

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41670-5

  • Online ISBN: 978-3-642-41671-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics