Optimal path selection and secured data transmission in underwater acoustic sensor networks: LSTM-based energy prediction.

ABSTRACT: The Underwater Acoustic Sensor Network (UASN) is a large network in which the vicinity of a transmitting node is made up of numerous operational sensor nodes. The communication process may be substantially disrupted due to the underwater acoustic channel's time-varying and space-varying features. As a result, the underwater acoustic communication system faces the problems of reducing interference and enhancing communication effectiveness and quality through adaptive modulation. To overcome this issue, this paper intends to propose a model for optimal path selection and secured data transmission in UASN via Long Short-Term Memory (LSTM) based energy prediction. The proposed model of transmitting the secured data in UASN through the optimal path involves two major phases. Initially, the node

SUBMITTER: Kaveripakam S 

PROVIDER: S-EPMC10479917 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature