Skip to main content
SpringerLink
Log in

A Fast Agreement Protocol for Underwater Wireless Sensor Networks

  • Conference paper
  • First Online:
Reliable and Autonomous Computational Science

Part of the book series: Autonomic Systems ((ASYS))

Summary

Clustering protocol is a popular topology in underwater wireless sensor networks because of its energy efficiency. In clustering protocols, cluster heads manage and monitor their member nodes. When a cluster head fails, all member nodes detect and notify their neighbor nodes of the cluster head failure to avoid wasting energy caused by communication with the failed cluster head. Member nodes detect the failure of a cluster head using agreement protocol. This agreement protocol gathers status of their cluster head and decides whether or not a cluster head fails. Therefore, achieving a fast agreement among member nodes is important for saving energy. In this paper, we propose a fast agreement protocol for deciding cluster head failure. We compare our scheme with previous schemes via simulation in terms of delay and accuracy. The evaluation results show that the proposed scheme reduced the agreement latency and improved accuracy.

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 84.99
Price excludes VAT (USA)
  • Available as 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

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., Pompili D., Melodia T. : Underwater acoustic sensor networks: research challenges. Ad Hoc Networks 6, 257–279 (2005).

    Google Scholar 

  2. Wang, P., Zhen, J., Li, C. : Cooperative fault-detection scheme with high accuracy and bounded delay for underwater sensor networks. Wireless Communications and Mobile Computing.(2009).

    Google Scholar 

  3. Domingo, M. C. : A distributed energy-aware routing protocol for underwater wireless sensor networks. Wireless Personal Communications., 51, 1–21 (2009).

    Article  Google Scholar 

  4. Cui, J., Kong, J., Gerla, M., Zhou, S. : Challenges: Building Scalable Mobile Underwater Wireless Sensor Networks for Aquatic Applications., IEEE Network, 12–18 (2006).

    Google Scholar 

  5. Jiang P. : A New Method for Node Fault Detection in Wireless Sensor Networks. Sensors., 1282–1294, (2009).

    Google Scholar 

  6. Younis, O., Fahmy, S., Santi, P. : An architecture for robust sensor network communications. International Journal of Distributed Sensor Networks., 305–327 (2005).

    Google Scholar 

  7. Berkhovskikh, L., Lysanov, Y. : Fundamentals of Ocean Acoustics. Springer. (1982).

    Google Scholar 

  8. Zeng, X., Bagrodia, R., Gerla, M. : GloMoSim: a Library for Parallel Simulation of Large-scale Wireless Networks., the 12th Workshop on Parallel and Distributed Simulations., 154–161 (1998).

    Google Scholar 

  9. Zeng, X., Bagrodia, R., Gerla, M. : GloMoSim: a Library for Parallel Simulation of Large-scale Wireless Networks., the 12th Workshop on Parallel and Distributed Simulations., 154–161 (1998).

    Google Scholar 

  10. Heidemann, J., Ye, W., Wills,J., Syed A., Li, Y. : Research Challenges and Applications for Underwater Sensor Networking. The IEEE Wireless Communications and Networking Conference., 228–235, (2006).

    Google Scholar 

  11. Cayirci, E., Tezcan, H., Dogan Y., Coskun, V. : Wireless sensor networks for underwater surveillance systems. Ad Hoc Networks., 4, 431–446 (2006).

    Article  Google Scholar 

  12. Shin, D., Kim, D. : FRT: Fast and Reliable Transport Protocol for Underwater Wireless Sensor Networks. IEEE Asia-Pacific Services Computing Conference (IEEE APSCC)., 402–407, (2009).

    Google Scholar 

  13. Casari, P., Harris, A. F. : nergy-efficient Reliable Broadcast in Underwater Acoustic Networks, The ACM International Workshop on UnderWater Networks (WUWNet)., 49–56, (2007).

    Google Scholar 

  14. Guo, Z., Wang, B., Cui, J. : Efficient Error Recovery Using Network Coding in Underwater Sensor Networks. Lecture Notes In Computer Science., 4479, 227–238 (2007).

    Article  Google Scholar 

  15. Chen, J., Wu X., Chen, G. : REBAR: A Reliable and Energy Balanced Routing Algorithm for Uunder Water Sensor Networks. the 7th International Conference on Grid and Cooperative Computing., 349–355 (2008).

    Google Scholar 

  16. Wang, P., Zheng, J., Li, C. : Cooperative fault-detection mechanism with high accuracy and bounded delay for underwater sensor networks. WIRELESS COMMUNICATIONS AND MOBILE COMPUTING., 9, 143–153 (2009).

    Article  Google Scholar 

  17. Zheng, J., Wang, P., Li, C., Mouftah, H. T. : An Efficient Fault- Prevention Clustering Protocol for Robust Underwater Sensor Networks. IEEE International Conference on Communications., 3263–3268 (2008).

    Google Scholar 

  18. Sozer, E., Stojanovic, M., Proakis, J. : Underwater acoustic networks. IEEE Journal of Oceanic Engineering., 25, 72–83 (2000).

    Article  Google Scholar 

  19. Che, X., Wells, I., Dickers, G., Gong, X, Rhodes, M. : A Static Multi-Hop Underwater Wireless Sensor Network Using RF Electromagnetic Communications, the 29th IEEE International Conference on Distributed Computing Systems Workshops., 460–463, (2009).

    Google Scholar 

  20. Yunus, F., Ariffin, S. H. S., Zahedi, Y. : A Survey of ExistingMedium Access Control (MAC) for Underwater Wireless Sensor Network (UWSN), Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation., 544–549 (2010).

    Google Scholar 

  21. Chen, Y., Juang, T., Lin, Y., Tsai, I. : A Low Propagation Delay Multi-Path Routing Protocol for Underwater Sensor Networks. Journal of Internet Technology., 11, 153–165 (2010).

    Google Scholar 

  22. Bajaj, L., Takai, M., Ahuja, R., Tang, K., Bagrodia, R., Tang, K. : Glo- MoSim: A Scalable Network Simulation Environment. UCLA Computer Science Department Technical Report 990027. (1999).

    Google Scholar 

  23. Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., Cayirci, E. : Wireless sensor networks: a survey. Computer Networks., textbf38, 393–422 (2002).

    Google Scholar 

  24. Felemban, E., Lee, C., Ekici, E. : MMSPEED: Multipath Multi-SPEED Protocol for QoS Guarantee of Reliability and Timeliness in Wireless Sensor Networks. IEEE transactions on Mobile Computing., textbf5, 738–754 (2006).

    Google Scholar 

  25. Wan, C., Campbell, A. T., Krishnamurthy, L. : PSFQ: a reliable transport protocol for wireless sensor networks. the 1st ACM international workshop on Wireless sensor networks and applications., 1–11 (2002).

    Google Scholar 

  26. Krishnamachari, B., Iyengar, S. : Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks. EEE transactions on Computers., textbf53, 241–250 (2004).

    Google Scholar 

  27. Gupta, G., Younis, M. : Fault-Tolerant Clustering of Wireless Sensor Networks. the IEEE Wireless Communication and Networks Conference., 1579–1584 (2003).

    Google Scholar 

Download references

Acknowledgement

The ICT (Institute of Computer Technology) at Seoul National University provides research facilities for this study.

Author information

Authors and Affiliations

  1. Seoul National University, 301-418, Deahak-dong, Gwanak-gu, Seoul, Korea

    Hong Min, Sangil Eo & Joonhyouk Jang

  2. Hansung University, 389, Samseon-dong, Seongbuk-gu, Seoul, Korea

    Junyoung Heo

  3. Korea Polytechnic University, 2121, Jeongwang-dong, Siheung-si, Gyeonggi-do, Korea

    Gwangil Jeon

Authors
  1. Hong Min
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sangil Eo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Joonhyouk Jang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Junyoung Heo
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Gwangil Jeon
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hong Min .

Editor information

Editors and Affiliations

  1. , EE & Computer Science Department, South Dakota State University, Brookings, 57007, South Dakota, USA

    Sung Y. Shin

  2. , Center for Rural Health Research & Educa, University of Wyoming, 1000 E. University Ave., Laramie, 82071, Wyoming, USA

    Rex Gantenbein

  3. , of Computer Science and Information Engi, National Taiwan University, Taipei, 10617, Taiwan R.O.C.

    Tei-Wei Kuo

  4. , Operating Systems Lab., School of Computing, Soongsil University, Seoul, 156-743, Korea, Republic of (South Korea)

    Jiman Hong

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Basel AG

About this paper

Cite this paper

Min, H., Eo, S., Jang, J., Heo, J., Jeon, G. (2011). A Fast Agreement Protocol for Underwater Wireless Sensor Networks. In: Shin, S., Gantenbein, R., Kuo, TW., Hong, J. (eds) Reliable and Autonomous Computational Science. Autonomic Systems. Springer, Basel. https://doi.org/10.1007/978-3-0348-0031-0_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-0348-0031-0_14

  • Published:

  • Publisher Name: Springer, Basel

  • Print ISBN: 978-3-0348-0030-3

  • Online ISBN: 978-3-0348-0031-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation