Modeling and Performance Analysis of Marine DTN Networks with Nodes-cluster in an Ad Hoc Sub-net

Shi, Yao; Li, Hui; Du, Wencai; Ma, Ji-Xin; Li, Fa-Bin

doi:10.2991/ceis-16.2016.36

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…Through the analysis of air raid weapons and the study of modern air-raid combat methods, a variety of threat factors for surface warships mainly include the target type, target airtime, target anti-electromagnetic interference characteristics, target heading angle, and target height. Therefore, threat assessment needs to be optimized according to the current state of the warship and the acquired target information, to infer the target's threat to the surface warship (Shi, Li, Du, Ma, & Li, 2016). The structure diagram of its multitarget threat assessment is shown in Figure 1.…”

Section: Multithreat Factor Analysis and Threat Attribute Modeling In...mentioning

confidence: 99%

Research and Application of Warship Multiattribute Threat Assessment Based on Improved TOPSIS Gray Association Analysis

Zang

Sheng

Wang

et al. 2022

International Journal of Digital Crime and Forensics

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Multitarget threat evaluation of warship air attacks is one of the most urgent problems in warship defense operations. To evaluate the target threat quickly and accurately, an air attack multitarget threat evaluation method based on improved TOPSIS gray relational analysis is proposed. This method establishes threat assessment system of five attributes of target type, anti-jamming ability, heading angle, altitude, and speed. The weight coefficient of each index of the warship is obtained by combining the entropy weight method with the analytic hierarchy process. Topsis can make full use of the information of the original data, and its results can accurately reflect the gap between various evaluation schemes. The weighted Mahalanobis distance and comprehensive gray correlation between the attribute to be evaluated and the positive and negative ideal states are calculated by the improved TOPSIS gray correlation method. The target threat degree to be evaluated is obtained by combining the two methods. Finally, an example is given to prove the effectiveness of the evaluation model.

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Section: Multithreat Factor Analysis and Threat Attribute Modeling In...mentioning

confidence: 99%

Research and Application of Warship Multiattribute Threat Assessment Based on Improved TOPSIS Gray Association Analysis

Zang

Sheng

Wang

et al. 2022

International Journal of Digital Crime and Forensics

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“…In order to build a low cost network to collect ocean data, researchers are devoted to constructing an optimal MDTN (Mobile Delay Tolerant Network) for ocean communication under a changeable and complicated environment with few wireless infrastructures [9,10,11]. If an ocean vessel’s trajectory could be obtained in advance, the MDTN delivery ratio and efficiency will be largely improved [12,13].…”

Section: Introductionmentioning

confidence: 99%

L-VTP: Long-Term Vessel Trajectory Prediction Based on Multi-Source Data Analysis

Liu

Guo

Feng

et al. 2019

Sensors

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With the rapid development of marine IoT (Internet of Things), ocean MDTN (Mobile Delay Tolerant Network) has become a research hot spot. Long-term trajectory prediction is a key issue in MDTN. There are no long-term fine-grained trajectory prediction methods proposed for ocean vessels because a vessel’s mobility pattern lacks map topology support and can be easily influenced by the fish moratorium, sunshine duration, etc. A traditional on-land trajectory prediction algorithm cannot be directly utilized in this field because trajectory characteristics of ocean vessels are far different from that on land. To address the problem above, we propose a novel long-term trajectory prediction algorithm for ocean vessels, called L-VTP, by utilizing multiple sailing related parameters and K-order multivariate Markov Chain. L-VTP utilizes multiple sailing related parameters to build multiple state-transition matrices for trajectory prediction based on quantitative uncertainty analysis of trajectories. Trajectories’ sparsity of ocean vessels results in a critical state missing problem of a high-order state-transition matrix. L-VTP automatically traverses other matrices in a specific sequence in terms of quantitative uncertainty results to overcome this problem. Furthermore, the different mobility models of the same vessel during the day and the night are also exploited to improve the prediction accuracy. Privacy issues have been taken into consideration in this paper. A quantitative model considering Markov order, training metadata and privacy leak degree is proposed to help the participant make the trade-off based on their customized requirements. We have performed extensive experiments on two years of real-world trajectory data that include more than two thousand vessels. The experiment results demonstrate that L-VTP can realize fine-grained long-term trajectory prediction with the consideration of privacy issues. The average error of 4.5-hour fine-grained prediction is less than 500 m. In addition, the proposed method can be extended to 10-hour prediction with an average error of 2.16 km, which is also far less than the communication range of ocean vessel communication devices.

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Marine Delay and Disruption Tolerant Networks (MaDTN): Application for Artisanal Fisheries

Bedón

Pastor

Herrera

et al. 2021

Communications in Computer and Information Science

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Modeling and Performance Analysis of Marine DTN Networks with Nodes-cluster in an Ad Hoc Sub-net

Cited by 4 publications

References 12 publications

Research and Application of Warship Multiattribute Threat Assessment Based on Improved TOPSIS Gray Association Analysis

Research and Application of Warship Multiattribute Threat Assessment Based on Improved TOPSIS Gray Association Analysis

L-VTP: Long-Term Vessel Trajectory Prediction Based on Multi-Source Data Analysis

Marine Delay and Disruption Tolerant Networks (MaDTN): Application for Artisanal Fisheries

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