Analysis of the Effect of Base Station Motion on Underwater Handovers for Base-Station-Based Underwater Wireless Acoustic Networks

Author:

Yun Changho1ORCID,Kwon Yong-Ju1

Affiliation:

1. Korea Research Institute of Ships & Ocean Engineering (KRISO), Daejeon 34103, Republic of Korea

Abstract

In base-station-based underwater wireless acoustic networks (B-UWANs), effective handover mechanisms are necessary to ensure seamless data services for mobile nodes such as autonomous underwater vehicles (AUVs). Unlike terrestrial base stations (BSs), moored buoy BSs in B-UWANs experience motion responses due to wave loads under environmental conditions, posing unique challenges to the handover process. This study examines how BS motion affects handover decision errors, which arise when AUVs incorrectly initiate handovers to unintended BSs due to BS motion. By utilizing the AUV–BS distance as a handover triggering parameter, our analysis reveals a significant increase in decision errors within the overlapping regions when both the current and target BSs are in motion, especially when moving in the same direction. In addition, these errors intensify with the magnitude of BS motion and are exacerbated by smaller BS network radii. Based on these simulation results, we present an analytical framework that not only measures the influence of BS motion on the AUV–BS distance but also provides strategic insights for refining underwater handover protocols, thereby enhancing operational reliability and service continuity in B-UWANs.

Funder

Korea Research Institute for Defense Technology Planning and Advancement

Publisher

MDPI AG

Reference52 articles.

1. A survey on current underwater acoustic sensor network application;Murad;Int. J. Comput. Theory Eng.,2015

2. (2020, August 01). Underwater Wireless Communication Market—Global Drivers, Opportunities, Trends, and Forecasts to 2022. Available online: https://www.globenewswire.com/news-release/2017/06/09/1011958/0/en/Underwater-Wireless-Communication-Market-Global-Drivers-Opportunities-Trends-and-Forecasts-to-2022.html.

3. Zhou, J., Si, Y., and Chen, Y. (2023). A review of subsea AUV technology. J. Mar. Sci. Eng., 11.

4. A swarm of unmanned vehicles in the shallow ocean: A survey;Liu;Neurocomputing,2023

5. Cui, Y., Zhu, P., Lei, G., Chen, P., and Yang, G. (2023). Energy-efficient multiple autonomous underwater vehicle path planning scheme in underwater sensor networks. Electronics, 12.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3