A Survey of Autonomous Underwater Vehicle Formation: Performance, Formation Control, and Communication Capability

Yang, Yue; Xiao, Yang; Li, Tieshan

doi:10.1109/comst.2021.3059998

Cited by 191 publications

(62 citation statements)

References 154 publications

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“…networks) and security enhancements are not explored in detail.  Yang et al [23] conducted an in-depth survey over automated underwater vehicles. This work has proposed a classification framework for automation control selection and classification for various applications.…”

Section: Federated Learning and Blockchainbased System For Autonomous Vehiclesmentioning

confidence: 99%

Blockchain and Autonomous Vehicles: Recent Advances and Future Directions

et al. 2021

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Blockchain is an underlying technology for securing many real-time applications and their data. The automobile is one such sector in which auto-manufacturers are looking forward to accepting the advantages of distributed ledger technology in autonomous vehicles or systems and improving their products, customer satisfaction, and other valuable experiences. This work aims to find the significance of blockchain technology in Autonomous Vehicles, including Autonomous Electric Vehicles (AEV), Autonomous Underwater Vehicles (AUV), Autonomous Guided Vehicles (AGV), Autonomous Aerial Vehicles (AAeV), and Autonomous Driving. In this work, a comparative analysis of blockchain-integrated autonomous vehicle systems is explored to identify the present scenario and futuristic challenges. In addition to blockchain technology, the uses and importance of sensors, architectures and infrastructure requirements, vehicle types, driving modes, vehicles target and tracking approaches, intelligent contracts, intelligent data handling, and industry-specific use cases are also explored. This study is based on the exploration of recent technologies and practices. As autonomous vehicles are expected to be the future of intelligent transportation, this paper surveys recent advances in autonomous vehicles and systems and how blockchain can help in improving user experiences and improving industry practices. Finally, limitations of work, future research directions, and challenges associated with different autonomous vehicles and systems are presented.

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Section: Federated Learning and Blockchainbased System For Autonomous Vehiclesmentioning

confidence: 99%

Blockchain and Autonomous Vehicles: Recent Advances and Future Directions

et al. 2021

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“…For underwater robots, the definition of formation control is similar to the surface vehicle but with additional dimensions [113] . Formation control of the multi-UUV system considers both 2-D and 3-D, where the former focuses on the lateral movement of the vehicle groups [114] .…”

Section: Underwater Robotsmentioning

confidence: 99%

Bio-inspired intelligence with applications to robotics: a survey

Li¹,

Xu²,

Zhu³

et al. 2021

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In the past decades, considerable attention has been paid to bio-inspired intelligence and its applications to robotics. This paper provides a comprehensive survey of bio-inspired intelligence, with a focus on neurodynamics approaches, to various robotic applications, particularly to path planning and control of autonomous robotic systems. Firstly, the bio-inspired shunting model and its variants (additive model and gated dipole model) are introduced, and their main characteristics are given in detail. Then, two main neurodynamics applications to real-time path planning and control of various robotic systems are reviewed. A bio-inspired neural network framework, in which neurons are characterized by the neurodynamics models, is discussed for mobile robots, cleaning robots, and underwater robots. The bio-inspired neural network has been widely used in real-time collision-free navigation and cooperation without any learning procedures, global cost functions, and prior knowledge of the dynamic environment. In addition, bio-inspired backstepping controllers for various robotic systems, which are able to eliminate the speed jump when a large initial tracking error occurs, are further discussed. Finally, the current challenges and future research directions are discussed in this paper.

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“…An optimal way to select the empty regions is based upon the number of resources used in the acoustic environment. The energy is one of the most fundamental resources where nodes are enabled to join the network and process the data communication towards the sonobuoys [ 47 , 48 , 49 ]. The section of empty regions ‘ Ser ’ is directly based upon the node’s energy ‘ En ’, where ‘ i ’ is the total number of empty regions selected (i varies from 0 to N ; where ‘ N ’ is the total number of nodes inside the empty regions) every node, before forwarding the data packets computes angle three times for three directions like (horizontal ‘x’, vertical ‘y’, and diagonal ‘z’).…”

Section: The Tri-angular Nearest Vector-based Energy Efficient Routing (Tanveer)mentioning

confidence: 99%

“…As the path becomes longer by selecting the number of nodes towards the sonobuoys, then the nearest vector path is selected. It is because; by computing the angle thrice only those nodes are selected that cover the angled cone and have the next link with forwarder nodes Moreover, a detailed survey of underwater ad hoc networks is presented in [ 46 , 47 , 48 , 49 ] where various methods of underwater communication are discussed. For every nearest vector it selects according to the availability of the node ‘ Nv ’, and angle coordinates ‘ A ( x, y, z )’, in such a way that ‘ Nv ∈ A ( x, y, z )’ but not empty regions ‘ Nv ∄ Er ’ towards the ‘ Sn ’, Equation (4) becomes:

…”

Section: The Tri-angular Nearest Vector-based Energy Efficient Routing (Tanveer)mentioning

confidence: 99%

TANVEER: Tri-Angular Nearest Vector-Based Energy Efficient Routing for IoT-Enabled Acoustic Sensor and Actor Networks (I-ASANs)

Draz

Yasin

Irfan

et al. 2021

Sensors

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The Internet of Things (IoT) is an emerging technology in underwater communication because of its potential to monitor underwater activities. IoT devices enable a variety of applications such as submarine and navy defense systems, pre-disaster prevention, and gas/oil exploration in deep and shallow water. The IoT devices have limited power due to their size. Many routing protocols have been proposed in applications, as mentioned above, in different aspects, but timely action and energy make these a challenging task for marine research. Therefore, this research presents a routing technique with three sub-sections, Tri-Angular Nearest Vector-Based Energy Efficient Routing (TANVEER): Layer-Based Adjustment (LBA-TANVEER), Data Packet Delivery (DPD-TANVEER), and Binary Inter Nodes (BIN-TANVEER). In TANVEER, the path is selected between the source node and sonobuoys by computing the angle three times with horizontal, vertical, and diagonal directions by using the nearest vector-based approach to avoid the empty nodes/region. In order to deploy the nodes, the LBA-TANVEER is used. Furthermore, for successful data delivery, the DPD-TANVEER is responsible for bypassing any empty nodes/region occurrence. BIN-TANVEER works with new watchman nodes that play an essential role in the path/data shifting mechanism. Moreover, achievable empty regions are also calculated by linear programming to minimize energy consumption and throughput maximization. Different evaluation parameters perform extensive simulation, and the coverage area of the proposed scheme is also presented. The simulated results show that the proposed technique outperforms the compared baseline scheme layer-by-layer angle-based flooding (L2-ABF) in terms of energy, throughput, Packet Delivery Ratio (PDR) and a fraction of empty regions.

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A Survey of Autonomous Underwater Vehicle Formation: Performance, Formation Control, and Communication Capability

Cited by 191 publications

References 154 publications

Blockchain and Autonomous Vehicles: Recent Advances and Future Directions

Blockchain and Autonomous Vehicles: Recent Advances and Future Directions

Bio-inspired intelligence with applications to robotics: a survey

TANVEER: Tri-Angular Nearest Vector-Based Energy Efficient Routing for IoT-Enabled Acoustic Sensor and Actor Networks (I-ASANs)

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