A kind of effectiveness of searching submarine for multiple Autonomous Underwater Vehicle cooperative systems

Real multi-Autonomous Underwater Vehicle (AUV) cooperative systems operate in complicated marine environments. The interaction between a multi-AUV cooperative system and its marine environment will affect the reliability of the system. Current is an important influencing factor of multi-AUV cooperative systems. A reliability index of multi-AUV cooperative systems known as System Reliable Probability (SRP) is proposed in this study. A method to calculate SRP is introduced, and the influence of current on SRP is discussed in detail. Current is considered an attack source, and the degree of its influence on SRP is calculated. As an example, the performance of this method is shown on two multi-AUV cooperative systems. Results show that the influence of the same current environment on different structures of the multi-AUV cooperative systems differs. This result provides a reference for the structure selection of multi-AUV systems. This study provides a practical method to estimate the reliability of multi-AUV cooperative systems.

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Optimization of multiple autonomous underwater vehicle cooperative system communication network topology based on total energy consumption

Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment ◽

10.1177/1475090219899540 ◽

2020 ◽

Vol 234 (3) ◽

pp. 668-675

Author(s):

Qingwei Liang ◽

Junlin Ou ◽

Liang Shi ◽

Xin Zhang

Keyword(s):

Communication Network ◽

Energy Consumption ◽

Total Energy ◽

Network Topology ◽

Optimization Problem ◽

Autonomous Underwater Vehicle ◽

Underwater Vehicle ◽

Cooperative Systems ◽

Total Energy Consumption ◽

Topology Optimization Problem

Given the importance of the communication energy consumption of multiple autonomous underwater vehicle cooperative systems in practical work, this work optimizes the network topology to reduce total energy consumption. In accordance with the characteristics of underwater communication, the energy consumption of communication links is obtained, thereby obtaining the total communication energy consumption of multiple autonomous underwater vehicle cooperative systems. Taking the all-terminal reliability of the communication network as a constraint and the total energy consumption of network communication as the optimization goal, this work puts forward an optimization model for the communication network topology of multiple autonomous underwater vehicle cooperative systems. Furthermore, this work creatively describes the network topology optimization problem as a special path optimization problem suitable for the ant colony optimization algorithm presented to solve the optimization problem and shown to be effective and efficiency on this problem.

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Reliability analysis for mutative topology structure multi-AUV cooperative system based on interactive Markov chains model

Robotica ◽

10.1017/s0263574716000503 ◽

2016 ◽

Vol 35 (8) ◽

pp. 1761-1772 ◽

Cited By ~ 3

Author(s):

Qingwei Liang ◽

Tianyuan Sun ◽

Liang Shi

Keyword(s):

Model Checking ◽

Markov Chains ◽

Reliability Analysis ◽

Autonomous Underwater Vehicle ◽

Underwater Vehicle ◽

Cooperative Systems ◽

Cooperative System ◽

Topology Structure ◽

Capability Index ◽

Real Practice

SUMMARYIn the real practice of multi-AUV (Autonomous Underwater Vehicle) cooperative systems, tasks or malfunctions will change the topology. The process of mutative topology structure will affect the reliability of multi-AUV cooperative system. The interactive Markov chains model, which is an intercurrent model of functional action and capability index, is selected to reflect the reliability of topology-changed multi-AUV cooperative systems. In this model, multi-AUV cooperative systems are described by the conception—“Action”. The concept of “action transfer” is used to describe the topology-changed multi-AUV cooperative system, and model checking is used to solve the interactive Markov chains, giving the probability of reliability within a certain time for the system. The result shows that the method proposed in this paper has a practical value.

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