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Optimum frequency selection for localization of underwater AUV using dynamic positioning parameters

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Abstract

Underwater connectivity has been a leading field of study in undersea navigation, deep-sea investigation and autonomous underwater vehicle control (AUVs). Because of the low attenuation (signal reduction) of sound in water, acoustic communication is the most versatile and broadly used tool in underwater network. Factors such as long propagation delay, restricted usable bandwidth, large Doppler range, time-varying channel conditions, pressure and various salinity conditions make the application of the underwater acoustic communication (UWAC) system difficult. Underwater naval monitoring and underwater exploration are the basic uses of Underwater Wireless Sensor Networks (UWSN). The outline of sensor networks has been resurrected into a new age of global physical object tracking with the latest advancement of innovation. This advances in design paved the way for new unopened insider information to be revealed in the area of underwater ecosystems, deep water conditions and discovery of ice sheets. This work provides a proficient packet transmitting technique in a selective frequency to increase the coverage, synchronisation and connectivity between sensor AUVs that are under secluded ocean contour observation. The theoretical model is used to represent the complex dynamics in the sea. Taking into account all the channel properties below the sea, the channel model was created. The AUVs are connected to a cluster-based network and the 3-D location of the AUVs is transmitted using an appropriate depth-based cluster-based routing protocol (DB-CBRP). Through choosing the optimal frequency for the transmission of routing packets, the network's total life is extended with the least delay in routing. As a result of its strength against overly reduced transmission capability and recurrence reuse, the CBRP approach is used to restrict channel impairments. The simulation results of the proposed algorithm reveal that the surveillance AUVs have greater communication, coverage and share their position with each other.

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Acknowledgements

This research work was carried out in Underwater Acoustic Research Lab, Department of Electronics and Communication Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India. The author would like to express his sincere gratitude for providing the necessary facilities to carry out this research work.

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Correspondence to Logeshwaran Rajasekaran.

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Rajasekaran, L., Santhanam, S.M. Optimum frequency selection for localization of underwater AUV using dynamic positioning parameters. Microsyst Technol 27, 4291–4303 (2021). https://doi.org/10.1007/s00542-021-05222-3

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  • DOI: https://doi.org/10.1007/s00542-021-05222-3

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