RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space

Underwater Wireless Sensor Networks (UWSNs) are widely used in naval military field and marine resource exploration. However, challenges such as resource inefficiency and unbalanced energy consumption severely hinder their practical applications. In this paper, we establish a model of underwater mul...

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Main Authors: Yafei Liu, Na Liu, Hao Li, Yi Jiang, Junwu zhu
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2024-01-01
Series:Cognitive Robotics
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Online Access:http://www.sciencedirect.com/science/article/pii/S2667241324000144
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author Yafei Liu
Na Liu
Hao Li
Yi Jiang
Junwu zhu
author_facet Yafei Liu
Na Liu
Hao Li
Yi Jiang
Junwu zhu
author_sort Yafei Liu
collection DOAJ
description Underwater Wireless Sensor Networks (UWSNs) are widely used in naval military field and marine resource exploration. However, challenges such as resource inefficiency and unbalanced energy consumption severely hinder their practical applications. In this paper, we establish a model of underwater multi-hop wireless sensor network with multiple AUVs as relay nodes, which describes the data transmission process within the network. Based on this, an underwater multi-AUV Relay Deployment and Selection Mechanism in 3D space (RDSM) is proposed to achieve efficient underwater networking. Specifically, the RDSM includes the following key components. Firstly, an optimized relay node deployment strategy (RNDS) is used to deploy AUV nodes to effectively ensure network connectivity. Compared with traditional methods, this strategy has unique advantages in considering underwater space characteristics and can better adapt to the complex underwater environment. Secondly, a new utility function is constructed by integrating factors such as throughput, energy consumption, and load. The relay selection strategy based on utility maximization (RSS-UM) is used to select the next-hop relay node. This strategy is innovative in improving relay selection efficiency and optimizing network performance. Finally, in response to the problem of rapid energy consumption of relay nodes close to the base station, a power adjustment scheme is introduced to achieve a balance in node energy consumption, which is of great significance for prolonging network lifetime and improving overall stability. Experimental results show that compared with existing methods, the proposed mechanism achieves high utility and throughput, while maintaining balanced node energy consumption.
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publishDate 2024-01-01
publisher KeAi Communications Co. Ltd.
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spelling doaj-art-2903c9046e424d73b4f8b9d7ead2a96f2025-08-20T01:56:49ZengKeAi Communications Co. Ltd.Cognitive Robotics2667-24132024-01-01420421610.1016/j.cogr.2024.11.001RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D spaceYafei Liu0Na Liu1Hao Li2Yi Jiang3Junwu zhu4CSSC Ocean Exploration Technology Institute Co., Ltd, Jiangsu, 214153, ChinaCollege of Information Engineering, Yangzhou University, Jiangsu, 225000, China; Corresponding author.Science and Technology on Near-Surface Detection Laboratory, Jiangsu, 214000, ChinaCollege of Information Engineering, Yangzhou University, Jiangsu, 225000, ChinaCollege of Information Engineering, Yangzhou University, Jiangsu, 225000, ChinaUnderwater Wireless Sensor Networks (UWSNs) are widely used in naval military field and marine resource exploration. However, challenges such as resource inefficiency and unbalanced energy consumption severely hinder their practical applications. In this paper, we establish a model of underwater multi-hop wireless sensor network with multiple AUVs as relay nodes, which describes the data transmission process within the network. Based on this, an underwater multi-AUV Relay Deployment and Selection Mechanism in 3D space (RDSM) is proposed to achieve efficient underwater networking. Specifically, the RDSM includes the following key components. Firstly, an optimized relay node deployment strategy (RNDS) is used to deploy AUV nodes to effectively ensure network connectivity. Compared with traditional methods, this strategy has unique advantages in considering underwater space characteristics and can better adapt to the complex underwater environment. Secondly, a new utility function is constructed by integrating factors such as throughput, energy consumption, and load. The relay selection strategy based on utility maximization (RSS-UM) is used to select the next-hop relay node. This strategy is innovative in improving relay selection efficiency and optimizing network performance. Finally, in response to the problem of rapid energy consumption of relay nodes close to the base station, a power adjustment scheme is introduced to achieve a balance in node energy consumption, which is of great significance for prolonging network lifetime and improving overall stability. Experimental results show that compared with existing methods, the proposed mechanism achieves high utility and throughput, while maintaining balanced node energy consumption.http://www.sciencedirect.com/science/article/pii/S2667241324000144Underwater wireless sensor networksNode deploymentRelay selectionMulti-hop transmission
spellingShingle Yafei Liu
Na Liu
Hao Li
Yi Jiang
Junwu zhu
RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space
Cognitive Robotics
Underwater wireless sensor networks
Node deployment
Relay selection
Multi-hop transmission
title RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space
title_full RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space
title_fullStr RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space
title_full_unstemmed RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space
title_short RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space
title_sort rdsm underwater multi auv relay deployment and selection mechanism in 3d space
topic Underwater wireless sensor networks
Node deployment
Relay selection
Multi-hop transmission
url http://www.sciencedirect.com/science/article/pii/S2667241324000144
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AT yijiang rdsmunderwatermultiauvrelaydeploymentandselectionmechanismin3dspace
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