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<p>The study of underwater communication has entered a new phase with the development of Underwater Wireless Sensor Networks (UWSNs). These networks have better energy efficiency&#xa0;and most significantly efficient dynamic topology. Numerous automatic routing models have been proposed to accomplish low latency and energy-efficient&#xa0;data transportation. However, the&#xa0;location-dependent and&#xa0;time-communication features of the acoustic medium make it difficult to acquire data in UWSNs. Moreover, reliable and efficient communication between nodes is possible only if the links are stable. In this paper, a new hybrid optimization algorithm, named as Mean and Random Position of the Manta Crow Search (MRP-MCS) algorithm is developed to perform routing in UWSNs. The developed routing algorithm determines the more robust and stable paths for routing packets under the shadow zones and connectivity voids in UWSNs. By sharing information through the selected path, latency and energy consumption problems are reduced by balancing the traffic load data even in a huge network. The multi-objective function of the developed protocol reduce distance, energy, path loss, Signal-to-Noise Ratio (SNR), Packet Delivery Ratio (PDR), throughput, delay, as well as Quality of Service (QoS). Unnecessary maintenance and complexity in the network topology are efficiently managed by considering these objective functions in our work. Moreover, issues including retransmissions, packet loss and signal quality are rectified by the proposed routing approach. The PDR of the suggested MRP-MCS-based routing algorithm attains a score of 96, which is higher than existing algorithms like EFO, HHO, MRFO and CSO. The empirical findings of the recommended technique outperform better performance in the UWSNs’ current routing methods.</p>

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A unique optimization-based routing path communication in underwater wireless sensor networks using Manta-Ray Foraging-Crow search optimization

  • 期刊论文

  • 发表日期：

    2025年7月28日

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  • Sravani Chintada,
  • M. N. V. S. S. Kumar,
  • Madhu Ramarakula

摘要

The study of underwater communication has entered a new phase with the development of Underwater Wireless Sensor Networks (UWSNs). These networks have better energy efficiency and most significantly efficient dynamic topology. Numerous automatic routing models have been proposed to accomplish low latency and energy-efficient data transportation. However, the location-dependent and time-communication features of the acoustic medium make it difficult to acquire data in UWSNs. Moreover, reliable and efficient communication between nodes is possible only if the links are stable. In this paper, a new hybrid optimization algorithm, named as Mean and Random Position of the Manta Crow Search (MRP-MCS) algorithm is developed to perform routing in UWSNs. The developed routing algorithm determines the more robust and stable paths for routing packets under the shadow zones and connectivity voids in UWSNs. By sharing information through the selected path, latency and energy consumption problems are reduced by balancing the traffic load data even in a huge network. The multi-objective function of the developed protocol reduce distance, energy, path loss, Signal-to-Noise Ratio (SNR), Packet Delivery Ratio (PDR), throughput, delay, as well as Quality of Service (QoS). Unnecessary maintenance and complexity in the network topology are efficiently managed by considering these objective functions in our work. Moreover, issues including retransmissions, packet loss and signal quality are rectified by the proposed routing approach. The PDR of the suggested MRP-MCS-based routing algorithm attains a score of 96, which is higher than existing algorithms like EFO, HHO, MRFO and CSO. The empirical findings of the recommended technique outperform better performance in the UWSNs’ current routing methods.