Skip to main content

Cluster-Based Routing Protocols with Adaptive Transmission Range Adjustment in UWSNs

  • Conference paper
  • First Online:
Advances in Internet, Data and Web Technologies (EIDWT 2019)

Abstract

Nowadays, limited battery lifespan in Underwater Wireless Sensor Networks (UWSNs) is one of the key concerns for reliable data delivery. Traditional transmission approaches increase the transmission overhead, i.e., packet collision and congestion, which affects the reliable data delivery. Additionally, replacement of the sensors battery in the harsh aquatic environment is a challenging task. To save the network from sudden failure and to prolong the lifespan of the network, efficient routing protocols are needed to control the excessive energy dissipation. Therefore, this paper proposes two cluster-based routing protocols. The proposed protocols adaptively adjust their transmission range to keep maximum neighbors in their transmission range. This transmission range adjustment helps the routing protocols to retain their transmission process continuous by removing void holes from the network. Clusters formation in both proposed protocols makes the data transmission successful, which enhances the Packet Delivery Ratio (PDR). A comparative analysis is also performed with two state-of-the-art protocols named: Weighting Depth Forwarding Area Division, Depth Based Routing (WDFAD-DBR) and Cluster-Based WDFAD-DB (CB-WDFAD-DBR). Simulation results show the effectiveness of the proposed protocols in terms of PDR, Energy Consumption (EC) and End to End (E2E) delay.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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. Akyildiz, I.F., Pompili, D., Melodia, T.: Underwater acoustic sensor networks: research challenges. Ad Hoc Netw. 3(3), 257–279 (2005)

    Article  Google Scholar 

  2. Wu, H., Chen, M., Guan, X.: A network coding based routing protocol for underwater sensor networks. Sensors 12(4), 4559–4577 (2012)

    Article  Google Scholar 

  3. Basagni, S., Petrioli, C., Petroccia, R., Spaccini, D.: CARP: a channel-aware routing protocol for underwater acoustic wireless networks. Ad Hoc Netw. 34, 92–104 (2015)

    Article  Google Scholar 

  4. Francois, R.E., Garrison, G.R.: Sound absorption based on ocean measurements. Part II: boric acid contribution and equation for total absorption. J. Acoust. Soc. Am. 72(6), 1879–1890 (1982)

    Article  Google Scholar 

  5. Sher, A., Khan, A., Javaid, N., Ahmed, S., Aalsalem, M., Khan, W.: Void hole avoidance for reliable data delivery in IoT enabled underwater wireless sensor networks. Sensors 18(10), 3271 (2018)

    Article  Google Scholar 

  6. Yildiz, H.U., Gungor, V.C., Tavli, B.: Packet size optimization for lifetime maximization in underwater acoustic sensor networks. IEEE Trans. Ind. Inf. (2018)

    Google Scholar 

  7. Rahim, S.S., Ahmed, S., Hadi, F.-E., Khan, A., Usman Akhtar, M., Javed, L.: Depth-based adaptive and energy-aware (DAE) routing scheme for UWSNs. EAI Endorsed Trans. Energy Web 5(17), e6 (2018)

    Google Scholar 

  8. Li, X., Wang, C., Yang, Z., Yan, L., Han, S.: Energy-efficient and secure transmission scheme based on chaotic compressive sensing in underwater wireless sensor networks. Digit. Signal Process. 81, 129–137 (2018)

    Article  Google Scholar 

  9. Khan, A., Ali, I., Rahman, A.U., Imran, M., Mahmood, H.: Co-EEORS: cooperative energy efficient optimal relay selection protocol for underwater wireless sensor networks. IEEE Access 6, 28777–28789 (2018)

    Article  Google Scholar 

  10. Yahya, A., Islam, S., Akhunzada, A., Ahmed, G., Shamshirband, S., Lloret, J.: Towards efficient sink mobility in underwater wireless sensor networks. Energies 11(6), 1471 (2018)

    Article  Google Scholar 

  11. Dosaranian-Moghadam, M., Amo-Rahimi, Z.: Energy efficiency and reliability in underwater wireless sensor networks using cuckoo optimizer algorithm. AUT J. Electr. Eng. 50(1), 93–100 (2018)

    Google Scholar 

  12. Khan, G., Dwivedi, R.K.: Energy efficient routing algorithm for void avoidance in UWSN using residual energy and depth variance

    Google Scholar 

  13. Wang, Z., Han, G., Qin, H., Zhang, S., Sui, Y.: An energy-aware and void-avoidable routing protocol for underwater sensor networks. IEEE Access 6, 7792–7801 (2018)

    Article  Google Scholar 

  14. Tuna, G.: Clustering-based energy-efficient routing approach for underwater wireless sensor networks. Int. J. Sens. Netw. 27(1), 26–36 (2018)

    Article  Google Scholar 

  15. Hou, R., He, L., Hu, S., Luo, J.: Energy-balanced unequal layering clustering in underwater acoustic sensor networks. IEEE Access 6, 39685–39691 (2018)

    Article  Google Scholar 

  16. Ahmed, M., Salleh, M., Ibrahim Channa, M.: CBE2R: clustered-based energy efficient routing protocol for underwater wireless sensor network. Int. J. Electron. 105(11), 1916–1930 (2018)

    Article  Google Scholar 

  17. Yu, H., Yao, N., Wang, T., Li, G., Gao, Z., Tan, G.: WDFAD-DBR: weighting depth and forwarding area division DBR routing protocol for UASNs. Ad Hoc Netw. 37, 256–282 (2016)

    Article  Google Scholar 

  18. Kuniyasu, T., Shigeyasu, T.: Data-centric communication strategy for wireless sensor networks. Int. J. Space-Based Situated Comput. 8(1), 30–39 (2018)

    Article  Google Scholar 

  19. Serhan, Z., Diab, W.B.: Energy efficient QoS routing and adaptive status update in WMSNS. Int. J. Space-Based Situated Comput. 6(3), 129–146 (2016)

    Article  Google Scholar 

  20. Togawa, K., Hashimoto, K.: Cooperative and priority based on dynamic resource adaptation method in wireless network. Int. J. Space-Based Situated Comput. 8(1), 40–49 (2018)

    Article  Google Scholar 

  21. Chen, L., Liu, L., Qi, X., Zheng, G.: Cooperation forwarding data gathering strategy of wireless sensor networks. Int. J. Grid Util. Comput. 8(1), 46–52 (2017)

    Article  Google Scholar 

  22. Gupta, B.K., Patnaik, S., Mallick, M.K., Nayak, A.K.: Dynamic routing algorithm in wireless mesh network. Int. J. Grid Util. Comput. 8(1), 53–60 (2017)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nadeem Javaid .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Awais, M., Khan, Z.A., Javaid, N., Mateen, A., Rasul, A., Hassan, F. (2019). Cluster-Based Routing Protocols with Adaptive Transmission Range Adjustment in UWSNs. In: Barolli, L., Xhafa, F., Khan, Z., Odhabi, H. (eds) Advances in Internet, Data and Web Technologies. EIDWT 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 29. Springer, Cham. https://doi.org/10.1007/978-3-030-12839-5_49

Download citation

Publish with us

Policies and ethics