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Towards Efficient Sink Mobility in Underwater Wireless Sensor Networks

Author

Listed:
  • Aqeb Yahya

    (COMSATS Institute of Information Technology, Islamabad 45550, Pakistan)

  • Saif Ul Islam

    (COMSATS Institute of Information Technology, Islamabad 45550, Pakistan)

  • Adnan Akhunzada

    (COMSATS Institute of Information Technology, Islamabad 45550, Pakistan)

  • Ghufran Ahmed

    (COMSATS Institute of Information Technology, Islamabad 45550, Pakistan)

  • Shahaboddin Shamshirband

    (Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam
    Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam)

  • Jaime Lloret

    (Integrated Management Coastal Research Institute, Universitat Politecnica de Valencia, 46022 Valencia, Spain)

Abstract

The unique characteristics of underwater environment such as long propagation delay, limited bandwidth, energy-constraint and non-uniform topology are big challenges in designing a routing protocol for underwater wireless sensor networks (UWSNs). In this paper, a novel routing scheme is proposed through which two mobile sinks are used for efficient collection of sensed data packets. Moreover, a new metric “Mobile Sink Utility Ratio (MUR)” is also introduced that helps in measuring the usage of mobile sink in the collection of data packets. The proposed scheme is rigorously evaluated and compared with current state-of-the-art routing protocols. The simulation of the proposed scheme shows promising results in terms of throughput, network lifetime, packet drop ratio and MUR.

Suggested Citation

  • Aqeb Yahya & Saif Ul Islam & Adnan Akhunzada & Ghufran Ahmed & Shahaboddin Shamshirband & Jaime Lloret, 2018. "Towards Efficient Sink Mobility in Underwater Wireless Sensor Networks," Energies, MDPI, vol. 11(6), pages 1-12, June.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1471-:d:150948
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    Cited by:

    1. Zi-Jia Wang & Zhi-Hui Zhan & Jun Zhang, 2018. "Solving the Energy Efficient Coverage Problem in Wireless Sensor Networks: A Distributed Genetic Algorithm Approach with Hierarchical Fitness Evaluation," Energies, MDPI, vol. 11(12), pages 1-14, December.

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