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Reliable and Energy-Efficient Routing Scheme for Underwater Wireless Sensor Networks (UWSNs)

Author

Listed:
  • Semab Iqbal

    (MNS Univeristy of Agriculture, Multan, Pakistan)

  • Israr Hussain

    (MNS Univeristy of Agriculture, Multan, Pakistan)

  • Zubair Sharif

    (Universiti Teknologi PETRONAS, Malaysia)

  • Kamran Hassan Qureshi

    (MNS Univeristy of Agriculture, Multan, Pakistan)

  • Javeria Jabeen

    (MNS Univeristy of Agriculture, Multan, Pakistan)

Abstract

Despite the fact that the ocean plays a role in everything from the air we breathe to daily weather and climate patterns, we know very little about our ocean. Underwater wireless sensor network (UWSN) is one of the options helping us to discover some domains such as natural assets and underwater resource exploration. However, the acoustic signal is the only suitable option in underwater communication in the absence of radio waves, which face a number of challenges under this environment. To overcome these issues, many routing schemes are introduced by researchers though energy consumption is still a challenge in underwater communication. To overcome the issue of rapid energy consumption, a reliable and energy-efficient routing method is introduced that avoids the redundant forwarding of data; hence, it achieves energy efficiency and eventually prolongs the network lifetime. Simulation results support the claim that the proposed scheme achieves energy efficiency along higher delivery ratio by reducing the data transmission error rate during the routing decisions.

Suggested Citation

  • Semab Iqbal & Israr Hussain & Zubair Sharif & Kamran Hassan Qureshi & Javeria Jabeen, 2021. "Reliable and Energy-Efficient Routing Scheme for Underwater Wireless Sensor Networks (UWSNs)," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 11(4), pages 42-58, October.
  • Handle: RePEc:igg:jcac00:v:11:y:2021:i:4:p:42-58
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    Cited by:

    1. Shubham Joshi & T.P Anithaashri & Ravi Rastogi & Gaurav Choudhary & Nicola Dragoni, 2022. "IEDA-HGEO: Improved Energy Efficient with Clustering-Based Data Aggregation and Transmission Protocol for Underwater Wireless Sensor Networks," Energies, MDPI, vol. 16(1), pages 1-13, December.

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