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A Probabilistic and Highly Efficient Topology Control Algorithm for Underwater Cooperating AUV Networks

The aim of the Smart and Networking Underwater Robots in Cooperation Meshes (SWARMs) project is to make autonomous underwater vehicles (AUVs), remote operated vehicles (ROVs) and unmanned surface vehicles (USVs) more accessible and useful. To achieve cooperation and communication between different A...

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Autores principales: Li, Ning, Cürüklü, Baran, Bastos, Joaquim, Sucasas, Victor, Fernandez, Jose Antonio Sanchez, Rodriguez, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469627/
https://www.ncbi.nlm.nih.gov/pubmed/28471387
http://dx.doi.org/10.3390/s17051022
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author Li, Ning
Cürüklü, Baran
Bastos, Joaquim
Sucasas, Victor
Fernandez, Jose Antonio Sanchez
Rodriguez, Jonathan
author_facet Li, Ning
Cürüklü, Baran
Bastos, Joaquim
Sucasas, Victor
Fernandez, Jose Antonio Sanchez
Rodriguez, Jonathan
author_sort Li, Ning
collection PubMed
description The aim of the Smart and Networking Underwater Robots in Cooperation Meshes (SWARMs) project is to make autonomous underwater vehicles (AUVs), remote operated vehicles (ROVs) and unmanned surface vehicles (USVs) more accessible and useful. To achieve cooperation and communication between different AUVs, these must be able to exchange messages, so an efficient and reliable communication network is necessary for SWARMs. In order to provide an efficient and reliable communication network for mission execution, one of the important and necessary issues is the topology control of the network of AUVs that are cooperating underwater. However, due to the specific properties of an underwater AUV cooperation network, such as the high mobility of AUVs, large transmission delays, low bandwidth, etc., the traditional topology control algorithms primarily designed for terrestrial wireless sensor networks cannot be used directly in the underwater environment. Moreover, these algorithms, in which the nodes adjust their transmission power once the current transmission power does not equal an optimal one, are costly in an underwater cooperating AUV network. Considering these facts, in this paper, we propose a Probabilistic Topology Control (PTC) algorithm for an underwater cooperating AUV network. In PTC, when the transmission power of an AUV is not equal to the optimal transmission power, then whether the transmission power needs to be adjusted or not will be determined based on the AUV’s parameters. Each AUV determines their own transmission power adjustment probability based on the parameter deviations. The larger the deviation, the higher the transmission power adjustment probability is, and vice versa. For evaluating the performance of PTC, we combine the PTC algorithm with the Fuzzy logic Topology Control (FTC) algorithm and compare the performance of these two algorithms. The simulation results have demonstrated that the PTC is efficient at reducing the transmission power adjustment ratio while improving the network performance.
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spelling pubmed-54696272017-06-16 A Probabilistic and Highly Efficient Topology Control Algorithm for Underwater Cooperating AUV Networks Li, Ning Cürüklü, Baran Bastos, Joaquim Sucasas, Victor Fernandez, Jose Antonio Sanchez Rodriguez, Jonathan Sensors (Basel) Article The aim of the Smart and Networking Underwater Robots in Cooperation Meshes (SWARMs) project is to make autonomous underwater vehicles (AUVs), remote operated vehicles (ROVs) and unmanned surface vehicles (USVs) more accessible and useful. To achieve cooperation and communication between different AUVs, these must be able to exchange messages, so an efficient and reliable communication network is necessary for SWARMs. In order to provide an efficient and reliable communication network for mission execution, one of the important and necessary issues is the topology control of the network of AUVs that are cooperating underwater. However, due to the specific properties of an underwater AUV cooperation network, such as the high mobility of AUVs, large transmission delays, low bandwidth, etc., the traditional topology control algorithms primarily designed for terrestrial wireless sensor networks cannot be used directly in the underwater environment. Moreover, these algorithms, in which the nodes adjust their transmission power once the current transmission power does not equal an optimal one, are costly in an underwater cooperating AUV network. Considering these facts, in this paper, we propose a Probabilistic Topology Control (PTC) algorithm for an underwater cooperating AUV network. In PTC, when the transmission power of an AUV is not equal to the optimal transmission power, then whether the transmission power needs to be adjusted or not will be determined based on the AUV’s parameters. Each AUV determines their own transmission power adjustment probability based on the parameter deviations. The larger the deviation, the higher the transmission power adjustment probability is, and vice versa. For evaluating the performance of PTC, we combine the PTC algorithm with the Fuzzy logic Topology Control (FTC) algorithm and compare the performance of these two algorithms. The simulation results have demonstrated that the PTC is efficient at reducing the transmission power adjustment ratio while improving the network performance. MDPI 2017-05-04 /pmc/articles/PMC5469627/ /pubmed/28471387 http://dx.doi.org/10.3390/s17051022 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Ning
Cürüklü, Baran
Bastos, Joaquim
Sucasas, Victor
Fernandez, Jose Antonio Sanchez
Rodriguez, Jonathan
A Probabilistic and Highly Efficient Topology Control Algorithm for Underwater Cooperating AUV Networks
title A Probabilistic and Highly Efficient Topology Control Algorithm for Underwater Cooperating AUV Networks
title_full A Probabilistic and Highly Efficient Topology Control Algorithm for Underwater Cooperating AUV Networks
title_fullStr A Probabilistic and Highly Efficient Topology Control Algorithm for Underwater Cooperating AUV Networks
title_full_unstemmed A Probabilistic and Highly Efficient Topology Control Algorithm for Underwater Cooperating AUV Networks
title_short A Probabilistic and Highly Efficient Topology Control Algorithm for Underwater Cooperating AUV Networks
title_sort probabilistic and highly efficient topology control algorithm for underwater cooperating auv networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469627/
https://www.ncbi.nlm.nih.gov/pubmed/28471387
http://dx.doi.org/10.3390/s17051022
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