AUV Trajectory Planning for Optimized Sensor Data Collection in Internet of Underwater Things

Efficient and timely data collection in Underwater Acoustic Sensor Networks (UASNs) for Internet of Underwater Things (IoUT) applications remains a significant challenge due to the inherent limitations of the underwater environment. This paper presents a Value of Information (VoI)-based trajectory p...

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Bibliographic Details
Main Authors: Talal S. Almuzaini, Andrey V. Savkin
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Future Internet
Subjects:
Online Access:https://www.mdpi.com/1999-5903/17/7/293
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