Efficient Operation of a Group of Standalone Unmanned Submersibles in a Network-Centric System of Underwater Illumination
Abstract
Introduction: A typical modern network-centric system of underwater illumination includes a group of standalone unmanned submersibles providing the illumination and monitoring of the marine environment, and immovable refill stations accepting the data from a device and filling up its energy resource. Designing a network-centric system implies a decision-making problem concerning the refill of the submersibles in order, on the one hand, to provide a sufficient resource for the transition to the next refill station and, on the other hand, to ensure that the general time of the survey does not exceed the predefined limit. Purpose: We develop a decision-making method for the refill of standalone unmanned submersibles, which would provide effective functioning for a group of submersibles in a network-centric system of underwater illumination. Results: A new decision-making method has been proposed which uses an additional factor: the energy necessary to cover the distance between the nearest refill station and the next one. Mathematical modeling and numerical experiments were conducted to determine the quantitative characteristics of using the conventional decision-making criteria and the proposed method. The obtained results have demonstrated an advantage of using the proposed method. Practical relevance: When designing a network-centric system of underwater illumination, assessing the possibilities of standalone unmanned submersibles and refill stations allows you to solve the problems of their placement topology, resource intensity and temporal characteristics.Published
2017-06-21
How to Cite
Martynova, L., & Rozengauz, M. (2017). Efficient Operation of a Group of Standalone Unmanned Submersibles in a Network-Centric System of Underwater Illumination. Information and Control Systems, (3), 47-57. https://doi.org/10.15217/issn1684-8853.2017.3.47
Issue
Section
Information and control systems