Adaptive Error Control Technique for Cluster-Based Underwater Wireless Sensor Networks

  • Nitin Goyal
  • Mayank Dave
  • Anil Kumar Verma
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 18)


Underwater Wireless Sensor Networks (UWSNs) are the networks where the sensors are deployed under the water to monitor the aquatic environment. UWSNs are susceptible to adverse environmental conditions making the network prone to errors. Since the underwater environment has a fluctuating nature with respect to temperature, speed, etc., it is necessary to make the network adaptive to frequent changes. In this paper, we propose an adaptive error control technique for cluster-based UWSN. The proposed technique initially makes the cost involved in data transmission adaptive and then makes the transmission error controlled by encoding the data to be transmitted. Thus, the network operation is made efficient by handling the error issue and also by making it adaptive. Simulation results show that the proposed AECT improves the 28% packet delivery ratio by reducing the 8% packet drops, 59% delay and 57% energy consumption when compared to the existing techniques.


UWSN Error control Cluster based QoS Communication 


  1. 1.
    Z. Zhong, Z. Peng, J.-H. Cui, Z. Shi, Efficient multipath communication for time-critical applications in underwater acoustic sensor networks. IEEE/ACM Trans. Networking 19(1), 28–41 (2011)CrossRefGoogle Scholar
  2. 2.
    C. Jun-Hong, J. Kong, M. Gerla, S. Zhou, The challenges of building mobile underwater wireless networks for aquatic applications. IEEE Netw. 20(3), 12–18 (2006)CrossRefGoogle Scholar
  3. 3.
    D. Pompili, I.F. Akyildiz, Overview of networking protocols for underwater wireless communications. IEEE Commun. Mag. 47(1), 97–102 (2009)CrossRefGoogle Scholar
  4. 4.
    B. Chen, D. Pompili, A communication framework for networked autonomous underwater vehicles, in Art of Wireless Sensor Networks, (Springer, Heidelberg, 2014), pp. 485–525CrossRefGoogle Scholar
  5. 5.
    N. Goyal, M. Dave, A.K. Verma, Energy efficient architecture for intra and inter cluster communication for underwater wireless sensor networks. Wirel. Pers. Commun. 89(2), 687–707 (2016)CrossRefGoogle Scholar
  6. 6.
    M. Ayaz, L.T. Jung, A. Abdullah, I. Ahmad, Reliable data deliveries using packet optimization in multi-hop underwater sensor networks. Comput. Inf. Sci. 24(1), 41–48 (2012)Google Scholar
  7. 7.
    M.N.B. Zakaria, H. Yosif, S.B. Ibrahim, An efficient energy adaptive hybrid error correction technique for underwater wireless sensor networks. World Acad. Sci. Eng. Technol. Int. J. Electr. Comput. Energ. Electron. Commun. Eng. 5(3), 436–442 (2011)Google Scholar
  8. 8.
    H. Wang, S. Wang, E. Zhang, J. Zou, A network coding based hybrid ARQ protocol for underwater acoustic sensor networks. Sensors 16(9), 1444 (2016)CrossRefGoogle Scholar
  9. 9.
    J.W. Lee, J.Y. Cheon, H.S. Cho, A cooperative ARQ scheme in underwater acoustic sensor networks, in Proceedings of IEEE OCEANS, Sydney, pp. 1–5, 2010Google Scholar
  10. 10.
    V. Di Valerio, C.P.L. Pescosolido, M. Van Der Shaar, A reinforcement learning-based data-link protocol for underwater acoustic communications, in Proceedings of the 10th International Conference on Underwater Networks & Systems, ACM, USA, p. 2, 2015Google Scholar
  11. 11.
    B.A. Elyas, M.N.B. Zakaria, Energy efficiency analysis of error correction techniques in underwater wireless sensor networks. J. Eng. Sci. Technol. 6(1), 17–28 (2011)Google Scholar
  12. 12.
    P. Xie, J.-H. Cui, SDRT: A reliable data transport protocol for underwater sensor networks. Ad Hoc Netw. 8(7), 708–722 (2010)CrossRefGoogle Scholar
  13. 13.
    B. Liu, H. Chen, X. Lei, F. Ren, K. Sezaki, Internode distance-based redundancy reliable transport in underwater sensor networks. EURASIP J. Wirel. Commun. Netw., 1, 1–16 (2010)Google Scholar
  14. 14.
    A.E. Babiker, M.N.B. Zakaria, An efficient energy two mode error correction technique in underwater wireless sensor networks. IEEE Int. Symp. Inf. Technol. (ITSim) 2, 580–585 (2010)Google Scholar
  15. 15.
    H. Wang, S. Wang, E. Zhang, An improved data transport protocol for underwater acoustic sensor networks, in IEEE OCEANS, (Monterey, 2016), IEEE, pp. 1–5Google Scholar
  16. 16.
    S. Cai, N. Yao, Z. Gao, A reliable data transfer protocol based on twin paths and network coding for underwater acoustic sensor network. EURASIP J. Wirel. Commun. Netw. 28(1), 1–6 (2015)Google Scholar
  17. 17.
    G. Liu, C. Wei, A new multi-path routing protocol based on cluster for underwater acoustic sensor networks, in International Conference on Multimedia Technology (ICMT), Hangzhou, pp. 26–28, July 2011Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Nitin Goyal
    • 1
  • Mayank Dave
    • 1
  • Anil Kumar Verma
    • 2
  1. 1.Department of Computer EngineeringNational Institute of TechnologyKurukshetraIndia
  2. 2.Department of Computer Science and EngineeringThapar UniversityPatialaIndia

Personalised recommendations