Advertisement

Relay Selection Approach in Underwater Acoustic WSNs Using Bi-Partite Graph

  • R. Raj  PriyadarshiniEmail author
  • N. Sivakumar
Article
  • 11 Downloads

Abstract

In an underwater wireless sensor networks, it is very difficult to communicate data over the 3-D underwater acoustic signal. In acoustic communication, there is no proper transmission between a source node to sink node. In existing work, single-hop clustering protocols were used for direct communication from cluster head to base station. Since direct communication is involved, the transmission range is very large and hence the data communication becomes difficult. In proposed work, additional leverage is achieved by introducing multi-hop clustering for speedy data transmission by selecting Relay Autonomous Underwater Vehicles (Relay-AUV) without delay and maximum channel capacity in acoustic wireless communication. The proposed scheme presents Relay-AUV selection algorithm using Contextual Bandit Bi-partite Graph (CB-BG) formulated by multi-hop data transmission, which provides maximum leverage for energy saving in cluster networks. Theoretical analysis and experimental simulation results are evaluated based on performance metrics such as successive transmission rate, throughput, cost of execution time and packet delivery ratio. The results shows that the proposed CB-BG system has maximum increase in data transmission rate of 58.33%, maximum increase in throughput and network throughput of 54.95%, maximum increase in operational time cost of 27.77% and high packet delivery ratio of 66.66%. The results are encouraging and our proposed method is found to be more efficient than the weight matching algorithms and minimum distances relay policies. The proposed CB-BG mechanism performs faster and reliable communication.

Keywords

UW-WSN Bi-partite graph Cluster head Relay-AUV CB-BG 

Notes

References

  1. 1.
    Tan, D. D., Le, T. T., & Kim, D.-S. (2013). Distributed cooperative transmission for underwater acoustic sensor networks. In 2013 IEEE wireless communications and networking conference workshops (WCNCW) (pp. 205–210). IEEE.Google Scholar
  2. 2.
    Vincent, M., Babu, K. V., Arthi, M., & Arulmozhivarman, P. (2016). A novel fuzzy based relay node deployment scheme for multi-hop relay network. Procedia Technology, 24, 842–853.CrossRefGoogle Scholar
  3. 3.
    Wang, M., Liu, D., Zhu, L., Xu, Y., & Wang, F. (2016). Lespp: lightweight and efficient strong privacy preserving authentication scheme for secure vanet communication. Computing, 98(7), 685–708.MathSciNetCrossRefGoogle Scholar
  4. 4.
    Xie, G., Liu, Y., Gao, J., & Li, X.-Z. (2013). Sort-based relay selection algorithm for decode-and-forward relay system. Science China Information Sciences, 56(2), 3–10.MathSciNetCrossRefGoogle Scholar
  5. 5.
    Katrenič, J., & Semanišin, G. (2013). Maximum semi-matching problem in bipartite graphs. Discussiones Mathematicae Graph Theory, 33(3), 559–569.MathSciNetCrossRefGoogle Scholar
  6. 6.
    Alizadeh, A., Forouzan, N., Ghorashi, S. A., & Sadough, S. M.-S. (2011). A graph-based approach for relay selection and resource allocation in cognitive two-way relay networks. In 2011 Wireless advanced (WiAd) (pp. 101–105). IEEE.Google Scholar
  7. 7.
    Doosti-Aref, A., & Ebrahimzadeh, A. (2017). Adaptive relay selection and power allocation for ofdm cooperative underwater acoustic systems. IEEE Transactions on Mobile Computing, 17, 1–15.CrossRefGoogle Scholar
  8. 8.
    Aslam, N., Robertson, W., & Phillips, W. J. (2009). Algorithms for relay node selection in randomly deployed homogenous cluster-based wireless sensor networks. Ad Hoc and Sensor Wireless Networks, 8(1–2), 5–20.Google Scholar
  9. 9.
    Gu, Y., Shao, Y., Han, H., & Yi, T. (2011). A clustering routing algorithm of wsn based on uneven nodes deployment. In 2011 International conference on wireless communications and signal processing (WCSP) (pp. 1–6). IEEE.Google Scholar
  10. 10.
    Dan, C., Hong, J., & Xi, L. (2011). Energy-efficient joint relay node selection and power allocation over multihop relaying cellular networks toward lte-advanced. The Journal of China Universities of Posts and Telecommunications, 18(3), 1–7.CrossRefGoogle Scholar
  11. 11.
    Yang, C.-H., Ssu, K.-F., & Lin, Y. Y. (2013). “A delay-awareness routing protocol in intermittently connected underwater acoustic sensor networks,” in Dependable Computing (PRDC), 2013 IEEE 19th Pacific Rim International Symposium on, pp. 138–139, IEEE.Google Scholar
  12. 12.
    Su, R., Venkatesan, R., & Li, C. (2015). An energy-efficient relay node selection scheme for underwater acoustic sensor networks. Cyber-Physical Systems, 1(2–4), 160–179.CrossRefGoogle Scholar
  13. 13.
    Li, S., Zhou, Y., Peng, D., Dou, Z., & Zhou, Y. (2016). Analysis of dual-hop and multiple relays cooperative truncated arq with relay selection in wsns. Acta Informatica, 53(1), 1–22.MathSciNetCrossRefGoogle Scholar
  14. 14.
    Lv, X., Li, H., & Li, H. (2017). A node coverage algorithm for a wireless-sensor-network-based water resources monitoring system. Cluster Computing, 20(4), 3061–3070.CrossRefGoogle Scholar
  15. 15.
    Khan, S., Parkinson, S., & Qin, Y. (2017). Fog computing security: A review of current applications and security solutions. Journal of Cloud Computing, 6(1), 19.CrossRefGoogle Scholar
  16. 16.
    Bouallegue, T., & Sethom, K. (2017). New threshold-based relay selection algorithm in dual hop cooperative network. Procedia Computer Science, 109, 273–280.CrossRefGoogle Scholar
  17. 17.
    Geng, K., Gao, Q., Fei, L., & Xiong, H. (2017). Relay selection in cooperative communication systems over continuous time-varying fading channel. Chinese Journal of Aeronautics, 30(1), 391–398.CrossRefGoogle Scholar
  18. 18.
    Li, X., Liu, J., Yan, L., Han, S., & Guan, X. (2017). Relay selection in underwater acoustic cooperative networks: A contextual bandit approach. IEEE Communications Letters, 21(2), 382–385.CrossRefGoogle Scholar
  19. 19.
    Tuna, G., Gungor, V. C. (2017). A survey on deployment techniques, localization algorithms, and research challenges for underwater acoustic sensor networks. International Journal of Communication Systems, 30(17), e3350.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringPondicherry Engineering CollegePillaichavadiIndia

Personalised recommendations