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Clustering Base Energy Efficient Mechanism for an Underwater Wireless Sensor Network

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Abstract

Underwater sensor networks are significantly different from terrestrial networks due to certain characteristics of low bandwidth, high proliferation delay, absorption, attenuation and limited energy. These unique features cause challenges in the development of protocols for underwater sensor networks (UWSNs) by researchers. In any case, energy conservation is one of the characteristics that ought to be considered. In this paper, considering the underwater (UW) constraint, we propose an energy conservation methodology that benefits from the use of the LEACH calculation method for UWSNs. The simulation results of our proposed hierarchical clustering strategy for UW networks are compared with the hierarchical clustering strategy of LEACH of terrestrial networks and show that the proposed methodology for UWSNs matches that of LEACH for terrestrial WSNs. Similar to the LEACH protocol, the proposed methodology also reduces the total energy consumption and prolongs the life of the UWSN. In a certain round, the number of nodes that are alive and the life of the network remain the same.

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Authors and Affiliations

  1. Computer Engineering Department, Sir Syed University of Engineering and Technology, Karachi, Pakistan

    Huma Hasan Rizvi & Rabia Noor Enam

  2. Department of Computer Science-UBIT, Karachi University, Karachi, Pakistan

    Sadiq Ali Khan

Authors
  1. Huma Hasan Rizvi
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  2. Sadiq Ali Khan
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  3. Rabia Noor Enam
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Contributions

Conceptualization: HHR, Dr. RNE, Data curation: Dr. RNE, Formal analysis: HHR, Investigation: HHR, Methodology: HHR, Dr. RNE, Project administration: HHR, Dr. SAK, Resources: Dr. SAK, HHR, Software: HHR, Supervision: Dr. SAK, Dr. RNE, Validation: HHR, Dr. SAK, Visualization: HHR, Dr. RNE, Writing—original draft: HHR, Writing—review and editing: HHR.

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Correspondence to Huma Hasan Rizvi.

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Rizvi, H.H., Khan, S.A. & Enam, R.N. Clustering Base Energy Efficient Mechanism for an Underwater Wireless Sensor Network. Wireless Pers Commun 124, 3725–3741 (2022). https://doi.org/10.1007/s11277-022-09536-x

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  • DOI: https://doi.org/10.1007/s11277-022-09536-x

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