Skip to main content
SpringerLink
Log in

A Novel Virtual Tunneling Protocol for Underwater Wireless Sensor Networks

  • Conference paper
  • First Online:
Soft Computing and Signal Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 900))

Abstract

The wireless sensor networks are prime components in automation and help in accelerating the technology to the next level. The sensor nodes are deployed in adverse conditions to monitor and collect critical data around the environment and relay the same to the server sensor node. The underwater wireless sensor networks (UWSNs) are prone to high danger and are designed to withstand extreme climate conditions. The UWSNs performance is evaluated by the metrics low energy consumption, high packet delivery rate (PDR), low jitter, and shortest path in transmitting the sensed data to the server sensor node (SSN). In this paper, we have proposed a virtual tunneling protocol (VTP) to increase the aforementioned factors associated with the underwater wireless sensor networks. The simulation yielded good results, and the same has been recorded here.

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 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
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. S. Gowrishankar, T.G. Basavaraju, D.H. Manjaiah, S.K. Sarkar, Issues in wireless sensor networks, in Proceedings of the World Congress on Engineering, vol. I, London, U.K (2008)

    Google Scholar 

  2. J. Sen, A survey on wireless sensor network security. Int. J. Commun. Netw. Inf. Secur. (IJCNIS) 1(2), 55–78 (2009)

    Google Scholar 

  3. P. Khare, S. Ali, Survey of wireless sensor network vulnerabilities and its solution. Int. J. Recent Dev. Eng. Technol. 2(6), 84–88 (2014)

    Google Scholar 

  4. R.J. Rasal, S.V. Gumaste, G.S. Deokate, Survey on different routing issues and design challenges in WSN. Int. J. Sci. Eng. Appl. Sci. (IJSEAS) 1(4), 189–192 (2015)

    Google Scholar 

  5. D. Sengupta, A. Roy, A Literature Survey of Topology Control and Its Related Issues in Wireless Sensor Networks, in International Journal of Information Technology and Computer Science (IJITCS), vol. 10, pp. 19–27 (2014)

    Article  Google Scholar 

  6. H.-H. Cho, C.-Y. Chen, T.K. Shih, H.-C. Chao, Survey on underwater delay/disruption tolerant wireless sensor network routing. IET Wireless Sens. Syst. 4(3), 112–121 (2014)

    Article  Google Scholar 

  7. H.K. Le, D. Henriksson, T. Abdelzaher, A control theory approach to throughput optimization in multi-channel collection sensor networks, in IPSN (2007)

    Google Scholar 

  8. Y. Wu, S. Fahmy, N.B. Shroff, On the construction of a maximum-lifetime data gathering tree in sensor networks: NP-completeness and approximation algorithm, in INFOCOM (2008)

    Google Scholar 

  9. D. Luo, X. Zhu, X. Wu, G. Chen, Maximizing lifetime for the shortest path aggregation tree in wireless sensor networks, in IEEE Proceedings INFOCOM, pp. 1566–1574 (2011)

    Google Scholar 

  10. R. Riggio, T. Rasheed, Tinku, S. Sicari, Performance evaluation of an hybrid mesh and sensor network, in IEEE International on Global Telecommunications, pp. 1–6 (2011)

    Google Scholar 

  11. W.-d. Liu, Z.-d. Wang, S. Zhang, Q.-q. Wang, A low power grid-based cluster routing algorithm of wireless sensor networks, in IEEE International Forum on Information Technology and Applications (IFITA), vol. 1, pp. 227–229 (2010)

    Google Scholar 

  12. S. Sharma, D. Kumar, K. Kishore, Wireless sensor networks—a review on topologies and node architecture. Int. J. Comput. Sci. Eng. 1(2), 19–25 (2013)

    Google Scholar 

  13. S. Dehghani, M. Pourzaferani, B. Barekatain, Comparison on energy-efficient cluster based routing algorithms in wireless sensor network. Procedia Comput. Sci. 72, 535–542 (2015)

    Article  Google Scholar 

  14. M. Taherian, H. Karimi, A.M. Kashkooli, A. Esfahanimehr, T. Jafta, M. Jafarabad, The design of an optimal and secure routing model in wireless sensor networks by using PSO algorithm. Procedia Comput. Sci. 73, 468–473 (2015)

    Article  Google Scholar 

  15. B. Barekatain, S. Dehghani, M. Pourzaferani, An energy-aware routing protocol for wireless sensor networks based on new combination of genetic algorithm & k-means. Procedia Comput. Sci. 72, 552–560 (2015)

    Article  Google Scholar 

  16. M. Nighot, A. Ghatol, GPS based distributed communication protocol for static sensor network (GDCP). Procedia Comput. Sci. 78, 530–536 (2016)

    Article  Google Scholar 

  17. M.B. Srinivas, Cluster based energy efficient routing protocol using ANT colony, optimization and breadth first search. Procedia Comput. Sci. 89, 124–133 (2016)

    Google Scholar 

  18. B. Amutha, B. Ghanta, K. Nanamaran, M. Balasubramanian, ECOSENSE: an energy consumption protocol for wireless sensor networks. Procedia Comput. Sci. 57, 1160–1170 (2015)

    Article  Google Scholar 

  19. Jaibheem, M. Gokavi, K. Patil, Enhanced routing protocols for Uwsn using Mrp technology. Int. J. Res. Eng. Technol. 04(05), 117–121 (2015)

    Article  Google Scholar 

  20. S. Ahmed, M. Akbar, R. Ullah, S. Ahmed, Atta-ur-Rehman, M. Raza, Z.A. Khan, U. Qasim, N. Javaid, ARCUN: analytical approach towards reliability with cooperation for underwater WSNs. Procedia Comput. Sci. 52, 576–583 (2015)

    Article  Google Scholar 

  21. A.H. Khan, M.R. Jafri, N. Javaid, Z.A. Khan, U. Qasim, M. Imran, DSM: dynamic sink mobility equipped DBR for underwater WSNs. Procedia Comput. Sci. 52, 560–567 (2015)

    Article  Google Scholar 

  22. N. Ilyas, T.A. Alghamdi, M.N. Farooq, B. Mehboob, A.H. Sadiq, U.N. Javaid, AEDG: AUV-aided efficient data gathering routing protocol for underwater wireless sensor networks. Procedia Comput. Sci. 52, 568–575 (2015)

    Article  Google Scholar 

  23. N. Ilyas, M. Akbar, R. Ullah, M. Khalid, A. Arif, A. Hafeez, U. Qasim, Z.A. Khan, N. Javaid, SEDG: scalable and efficient data gathering routing protocol for underwater WSNs. Procedia Comput. Sci. 52, 584–591 (2015)

    Article  Google Scholar 

  24. A. Joshi, S. Dhongdi, K.R. Anupama, P. Nahar, R. Sethunathan, Implementation of protocol stack for three-dimensional wireless sensor network. Procedia Comput. Sci. 89, 193–202 (2016)

    Article  Google Scholar 

  25. A.M.V. Bharathy, A.M. Basha, A multi-class classification MCLP model with particle swarm optimization for network intrusion detection. Sadhana: Acad. Proceed. Eng. Sci. 42(5), 631–640 (2017)

    Google Scholar 

  26. A.M.V. Bharathy, A.M. Basha, A hybrid intrusion detection system cascading support vector machine and fuzzy logic. World Appl. Sci. J. 35(1), 104–109 (2016)

    Google Scholar 

  27. A.M.V. Bharathy, A.M. Basha, A hybrid network intrusion detection technique using variable multiplicative K-Means with self-organising PSO. Middle East J. Sci. Res. 24(12), 3812–3819 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Jyothishmathi Institute of Technology and Science, Karimnagar, Telangana, India

    A. M. Viswa Bharathy

  2. Malla Reddy College of Engineering and Technology, Hyderabad, Telangana, India

    V. Chandrasekar

Authors
  1. A. M. Viswa Bharathy
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. V. Chandrasekar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to V. Chandrasekar .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ, USA

    Jiacun Wang

  2. Department of Information Technology, National Institute of Technology Karnataka, Surathkal, Mangaluru, Karnataka, India

    G. Ram Mohana Reddy

  3. Department of Computer Science and Engineering, JNTUH College of Engineering Hyderabad, Hyderabad, Telangana, India

    V. Kamakshi Prasad

  4. Department of Electronics and Communication Engineering, Malla Reddy College of Engineering and Technology, Secunderabad, Telangana, India

    V. Sivakumar Reddy

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Viswa Bharathy, A.M., Chandrasekar, V. (2019). A Novel Virtual Tunneling Protocol for Underwater Wireless Sensor Networks. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 900. Springer, Singapore. https://doi.org/10.1007/978-981-13-3600-3_27

Download citation

Publish with us

Policies and ethics

Search

Navigation