Link Availability-Aware Routing Metric Design for Maritime Mobile Ad Hoc Network

A maritime mobile ad hoc network (M-MANET) is an essential part of the maritime communication network and plays a key role in many maritime scenarios. However, the topology of M-MANET dynamically changes with the movement of vessels, which leads to unstable link states and poses the risk of data transmission interruption. In this paper, a mobility model for small unmanned surface vessels based on smooth Gaussian semi-Markovian and a trajectory prediction method for large vessels based on a bi-directional long short-term memory network are proposed to better simulate the nodes’ movement in the M-MANET. Then, a link available based routing metric is proposed for M-MANET scenarios, which incorporates factors of mobility model and vessel trajectory. Experiments demonstrate that compared with the benchmark methods, the proposed mobility model depicts the movement characteristics of vessels more accurately, the proposed trajectory prediction method achieves higher prediction accuracy and stability, the proposed routing metric scheme has a reduction of 14.59% in end-to-end delay, a 1.54% increase in packet delivery fraction, and a 4.43% increase in network throughput on average.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2025-06-17
DOI
https://doi.org/10.3390/jmse13061184
Citations
1
Primary Topic
Mobile Ad Hoc Networks
Type
article
Field-Weighted Citation Impact
1.49

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Link Availability-Aware Routing Metric Design for Maritime Mobile Ad Hoc Network

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Journal of Marine Science and Engineering
Mobile Ad Hoc Networks
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article

Link Availability-Aware Routing Metric Design for Maritime Mobile Ad Hoc Network

Feng Xue, Yanpeng Dai, Yi Jiang, Qing Xi Hu, Shuaiheng Huai, Tianrui Liu
article en
1 citations

Abstract

A maritime mobile ad hoc network (M-MANET) is an essential part of the maritime communication network and plays a key role in many maritime scenarios. However, the topology of M-MANET dynamically changes with the movement of vessels, which leads to unstable link states and poses the risk of data transmission interruption. In this paper, a mobility model for small unmanned surface vessels based on smooth Gaussian semi-Markovian and a trajectory prediction method for large vessels based on a bi-directional long short-term memory network are proposed to better simulate the nodes’ movement in the M-MANET. Then, a link available based routing metric is proposed for M-MANET scenarios, which incorporates factors of mobility model and vessel trajectory. Experiments demonstrate that compared with the benchmark methods, the proposed mobility model depicts the movement characteristics of vessels more accurately, the proposed trajectory prediction method achieves higher prediction accuracy and stability, the proposed routing metric scheme has a reduction of 14.59% in end-to-end delay, a 1.54% increase in packet delivery fraction, and a 4.43% increase in network throughput on average.

Journal of Marine Science and EngineeringVol. 13(6)
Dalian Maritime University (CN)
China Postdoctoral Science Foundation, National Key Research and Development Program of China
Openalex Percentile: Top 16%
Mobile Ad Hoc Networks
1.49
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