A Dynamic Equilibrium Routing Protocol With Delay and Break Tolerance for UANs

Research on underwater networks has been ongoing for decades. Nevertheless, the evolving operational requirements for highly dynamic and reconfigurable underwater systems demonstrate the insufficiency of traditional network studies constrained to either fixed infrastructure or hybrid topologies with minimal AUV participation, they often fail to address the challenges of fully mobile ad-hoc configurations. Therefore, this paper makes three key contributions to advance research on ad-hoc mobile underwater acoustic networks (AMUAN). First, we present a comprehensive analysis of current limitations and establish the dedicated solution for critical AMUAN needs. Second, we propose a novel lightweight dynamic adaptive routing algorithm specifically optimized for underwater environments with limited communication conditions. Our approach features include a delay/disruption-tolerant protocol based on opportunistic routing principles, and an innovative multi-parameter fusion equilibrium algorithm for neighborhood management and forwarding strategy optimization. Third, through extensive simulations evaluating delay, energy efficiency, security, and network lifetime, we demonstrate our scheme’s superior performance compared to existing solutions. The results particularly highlight exceptional adaptability in dynamic high-load conditions (achieving 15% lower latency than conventional methods) and robust malicious node detection (with 25% security improvement), showcasing its significant advantages and potential for broader application.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-06-24
DOI
https://doi.org/10.1109/jsen.2025.3580728
Primary Topic
Opportunistic and Delay-Tolerant Networks
Type
article
Field-Weighted Citation Impact
0.00

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article

A Dynamic Equilibrium Routing Protocol With Delay and Break Tolerance for UANs

Jinqiu Wu, Xiaofei Qi, Gang Qiao, Jia Shi et al.
IEEE Sensors Journal
Opportunistic and Delay-Tolerant Networks
article

A Dynamic Equilibrium Routing Protocol With Delay and Break Tolerance for UANs

Jinqiu Wu, Xiaofei Qi, Gang Qiao, Jia Shi, Zhiwei Zhao, Wenbo Zhang
article en

Abstract

Research on underwater networks has been ongoing for decades. Nevertheless, the evolving operational requirements for highly dynamic and reconfigurable underwater systems demonstrate the insufficiency of traditional network studies constrained to either fixed infrastructure or hybrid topologies with minimal AUV participation, they often fail to address the challenges of fully mobile ad-hoc configurations. Therefore, this paper makes three key contributions to advance research on ad-hoc mobile underwater acoustic networks (AMUAN). First, we present a comprehensive analysis of current limitations and establish the dedicated solution for critical AMUAN needs. Second, we propose a novel lightweight dynamic adaptive routing algorithm specifically optimized for underwater environments with limited communication conditions. Our approach features include a delay/disruption-tolerant protocol based on opportunistic routing principles, and an innovative multi-parameter fusion equilibrium algorithm for neighborhood management and forwarding strategy optimization. Third, through extensive simulations evaluating delay, energy efficiency, security, and network lifetime, we demonstrate our scheme’s superior performance compared to existing solutions. The results particularly highlight exceptional adaptability in dynamic high-load conditions (achieving 15% lower latency than conventional methods) and robust malicious node detection (with 25% security improvement), showcasing its significant advantages and potential for broader application.

IEEE Sensors JournalVol. 25(15)
Peng Cheng Laboratory (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 84%
Opportunistic and Delay-Tolerant Networks
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A Dynamic Equilibrium Routing Protocol With Delay and Break Tolerance for UANs — Jinqiu Wu, Xiaofei Qi, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS