Skip to main content

ORIGINAL RESEARCH article

Front. Mar. Sci.
Sec. Ocean Observation
Volume 11 - 2024 | doi: 10.3389/fmars.2024.1468481
This article is part of the Research Topic Remote Sensing Applications in Oceanography with Deep Learning View all articles

Optimizing Underwater Connectivity through Multi-Attribute Decision-Making for Underwater IoT Deployments Using Remote Sensing Technologies

Provisionally accepted
Inam Ullah Inam Ullah 1Farhad Ali Farhad Ali 1Amin Sharafian Amin Sharafian 2Ahmad Ali Ahmad Ali 2H. M. Yasir Naeem H. M. Yasir Naeem 2Xiaoshan Bai Xiaoshan Bai 2,3*
  • 1 Department of Computer Engineering, Gachon University, Seongnam 13120, Republic of Korea, Seongnam, Republic of Korea
  • 2 College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China
  • 3 College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong Province, China

The final, formatted version of the article will be published soon.

    The underwater Internet of Things (UIoT) and remote sensing are significant for biodiversity preservation, environmental protection, national security, disaster assistance, and technological innovation. Assigning tasks to autonomous underwater vehicles (AUVs) is a fundamental challenge in underwater technology and exploration. Remote sensing and AUVs are vital for pollution detection, disaster prevention, marine observation, and ocean monitoring. This work presents an optimized network connectivity using a multi-attribute decision-making approach for underwater IoT deployment. A feature engineering approach highlights the significant characteristics of underwater things, incorporating remote sensing data, and a multi-objective optimization method is used to select optimal UIoT for effective task allocation in deep-sea environments. A balance between data transmission, energy economy, and operational performance is necessary for efficient task distribution. Effective communication algorithms and protocols are needed to maintain environmental sustainability, protect marine ecosystems, and improve underwater monitoring enhanced by remote sensing technologies. Multi-criteria decision-making (MCDM) is beneficial for addressing various challenges in underwater technology, considering factors such as mission objectives, energy efficiency, environmental conditions, vehicle performance, safety, and much more. The proposed criteria importance through intercriteria correlation (CRITIC) methodology will assess technical competencies like communication, resilience, navigation, and safety in an underwater environment, leveraging remote sensing and aiding decision-makers in selecting appropriate undersea devices and vehicles for enhancing communication and transportation. This method prioritizes characteristics and aligns them with specific objectives, improving decision-making quality in the marine environment.1.

    Keywords: Autonomous Underwater Vehicles, remote sensing, Internet of underwater things, Acoustics Sensor Networks, Marine applications

    Received: 22 Jul 2024; Accepted: 30 Aug 2024.

    Copyright: © 2024 Ullah, Ali, Sharafian, Ali, Naeem and Bai. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Xiaoshan Bai, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.