International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Volume 8 Issue 5
September-October 2026

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Topology and Spatiotemporal Recurrent Estimation Based on Biogeography for Transmit Power Distribution in Deep-Sea Acoustic Sensor Networks

Author(s) Mr. Arjun Rajput, Dr. Shweta Chouksey
Country India
Abstract Underwater Acoustic Sensor Networks (UWSNs) operate within highly severe physical constraints characterized by intense signal dispersion, variable multi-path delays, and high baseline ambient noise. Because deep-sea nodes are powered by non-rechargeable internal batteries, minimizing telemetry energy consumption while avoiding link out-of-service conditions is vital. This research introduces a dual-tier structural design termed Biogeography-Based Topology and Spatiotemporal Recurrent Estimation (BB-TSRE). Unlike traditional approaches utilizing standard genetic topologies, the network infrastructure stage applies a Biogeography-Based Optimization (BBO) model to select robust cluster gateways. This framework evaluates node suitability index variables based on relative distance metrics, localization uncertainty margins, and remaining battery potentials. At the operational phase, cluster heads run a localized Deep Spatiotemporal Recurrent Neural Network (ST-RNN) to predict telemetry payloads using multi-dimensional parameters including oceanic fluid pressure, temperature variations, and acoustic scattering indices. Our empirical investigations conducted across various scales on a digital simulation framework reveal that the BB-TSRE design reduces total network energy expenditure by up to 34.2% and extends operational system life cycles by 41.5% relative to baseline acoustic frameworks.
Keywords Underwater Acoustic Sensor Networks, Biogeography-Based Optimization, Spatiotemporal Prediction, Telemetry Minimization, Cluster Architecture.
Field Engineering
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-06-06
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E-ISSN 2582-2160
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CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

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