4.7 Article

A Scheme for Cooperative-Escort Multi-Submersible Intelligent Transportation System Based on SDN-Enabled Underwater IoV

Related references

Note: Only part of the references are listed.
Article Engineering, Marine

Path-following optimal control of autonomous underwater vehicle based on deep reinforcement learning

Zhanyuan Wang et al.

Summary: In this paper, optimal control is used to solve the path-following control problem for autonomous underwater vehicles (AUVs) with known and static path geometry. To address the issue of long optimization time for complex nonlinear problems, a path-following control method based on Simplified Deep Deterministic Policy Gradient (S-DDPG) algorithm is proposed. S-DDPG only considers the reward in the current state, eliminating the need to predict future rewards and simplifying the training process of neural networks (NNs). Offline training is conducted before path-following, where the trained NNs are directly used as controllers. Simulation results demonstrate that S-DDPG enables AUVs to successfully perform path-following tasks and outperforms other methods.

OCEAN ENGINEERING (2023)

Article Engineering, Electrical & Electronic

A Multi-Channel Interference Based Source Location Privacy Protection Scheme in Underwater Acoustic Sensor Networks

Hao Wang et al.

Summary: This paper proposes a source location privacy protection scheme (MCISLP) for underwater acoustic sensor networks (UASNs) based on multi-channel interference. Through strategies such as noise reduction, AUV movement prediction, interference utilization, and time slot control, the scheme improves network security and balances node energy consumption.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2022)

Article Computer Science, Artificial Intelligence

ME-MADDPG: An efficient learning-based motion planning method for multiple agents in complex environments

Kaifang Wan et al.

Summary: This paper proposes a new ME-MADDPG algorithm to improve the efficiency and adaptability of multiagent motion planning methods by introducing a mixed experience strategy. Experimental results demonstrate that the proposed algorithm significantly enhances convergence speed and effectiveness in training compared to traditional MADDPG, showing better performance in complex dynamic environments.

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (2022)

Article Automation & Control Systems

SDN-Assisted Safety Message Dissemination Framework for Vehicular Critical Energy Infrastructure

Sahaya Beni Prathiba et al.

Summary: A continuous clustering approach called migrating consignment region (MiCR), based on the federated K-means algorithm, is proposed for disseminating safety-critical messages (SCMs) to autonomous vehicles (AVs) via 5G V2X communication. Unlike other methods, MiCR continuously maintains moving clusters for disseminating SCMs to AVs with high reliability and low latency. Simulation results demonstrate the superiority of MiCR in terms of network overload, SCM delivery ratio, latency, dissemination efficiency, and collision rate compared to existing methods.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2022)

Article Engineering, Civil

A Clustering-Based Coverage Path Planning Method for Autonomous Heterogeneous UAVs

Jinchao Chen et al.

Summary: Unmanned aerial vehicles (UAVs) are widely utilized in civilian and military applications for their high autonomy and strong adaptability. This paper addresses the coverage path planning problem of autonomous heterogeneous UAVs on a bounded number of regions by proposing an exact formulation based on mixed integer linear programming and a clustering-based algorithm inspired from density-based clustering methods to achieve optimal flight paths and efficient coverage tasks. Experiments demonstrating the efficiency and effectiveness of the proposed approach with randomly generated regions are conducted.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

Article Automation & Control Systems

Asynchronous Tracking Control of Leader-Follower Multiagent Systems With Input Uncertainties Over Switching Signed Digraphs

Jinliang Shao et al.

Summary: This article discusses the asynchronous tracking control problem of multiagent systems with input uncertainties on switching signed digraphs, proposing a novel method using dynamically changing spanning subdigraphs and general substochastic matrices for solving the problem effectively.

IEEE TRANSACTIONS ON CYBERNETICS (2022)

Article Computer Science, Information Systems

ProStream: Programmable Underwater IoT Network for Multimedia Streaming

Firoj Gazi et al.

Summary: This article introduces a reconfigurable SDN-based underwater multihop network ProStream for improved topology management, association control, and multimedia transmission. The scheme considers networks with multiple access points and mobile relays and stations, providing performance optimization through programmability.

IEEE INTERNET OF THINGS JOURNAL (2022)

Article Computer Science, Artificial Intelligence

Bio-Inspired Neural Network-Based Optimal Path Planning for UUVs Under the Effect of Ocean Currents

Danjie Zhu et al.

Summary: An intelligent algorithm for unmanned underwater vehicles (UUVs) is proposed in this paper to address the optimal path in the underwater environment without being affected by ocean currents. The algorithm consists of a neural network-based algorithm for deducing the shortest path and avoiding collisions, and an adjusting component for balancing the deviation caused by ocean currents. The optimization results of the proposed algorithm are presented and compared with a path planning algorithm that does not consider the effect of currents. The results demonstrate the effectiveness of the proposed method when encountering currents of different directions and velocities.

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES (2022)

Article Automation & Control Systems

Adaptive model-parameter-free fault-tolerant trajectory tracking control for autonomous underwater vehicles

Cheng Zhu et al.

Summary: This paper presents a model-parameter-free control strategy for the trajectory tracking problem of autonomous underwater vehicles, using two control architectures to achieve desired trajectories with improved system reliability under actuator failures. The proposed controllers leverage sliding mode control technology and adaptive algorithms to handle nonlinear dynamics of underwater vehicles, demonstrating validity through theoretical analysis and numerical simulations.

ISA TRANSACTIONS (2021)

Article Engineering, Mechanical

Cooperative control for multiple quadrotors under position deviations and aerodynamic drag

Yiping Yue et al.

Summary: This paper investigates cooperative control for leader-follower multiple quadrotors under position deviations and aerodynamic drag, modeling them as cooperative subsystems and position subsystems. Nonlinear extended state observers and feedback controllers are developed for estimating position deviations and achieving cooperative performance, while adaptive sliding mode controllers are proposed for tracking capability under aerodynamic drag. Experimental results for a single leader single follower system demonstrate the validity of the proposed method.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Article Computer Science, Artificial Intelligence

EERBCR: Energy-efficient regional based cooperative routing protocol for underwater sensor networks with sink mobility

Haseena Gul et al.

Summary: The proposed Energy-Efficient Regional base Cooperative Routing (EERBCR) protocol for Underwater Wireless Sensor Networks (UWSNs) enhances network lifetime by dividing the network field into regions, using mobile sinks, and activating nodes based on sink proximity. Simulation results show the superiority of EERBCR over other routing protocols.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021)

Article Computer Science, Interdisciplinary Applications

IoUT: Modelling and simulation of Edge-Drone-based Software-Defined smart Internet of Underwater Things

Kamalika Bhattacharjya et al.

Summary: The research explores the importance of IoUT in monitoring underwater environments and proposes an intelligent IoUT model based on drones and edge computing. By selecting efficient cluster head nodes to reduce energy consumption, the efficiency of data transmission is improved, and the performance of the new model is compared with traditional models.

SIMULATION MODELLING PRACTICE AND THEORY (2021)

Article Computer Science, Information Systems

A Cooperative-Control-Based Underwater Target Escorting Mechanism With Multiple Autonomous Underwater Vehicles for Underwater Internet of Things

Jie Zhang et al.

Summary: The article proposes a cooperative-control-based algorithm called CUTE for escorting moving targets in underwater Internet of Things applications. The algorithm includes task assignment and formation control, achieving target escort through smooth path planning and formation rotation.

IEEE INTERNET OF THINGS JOURNAL (2021)

Article Computer Science, Artificial Intelligence

Virtual Guidance-Based Coordinated Tracking Control of Multi-Autonomous Underwater Vehicles Using Composite Neural Learning

Yingxin Shou et al.

Summary: This article introduces a virtual leader-based coordinated controller for multi-AUVs with system uncertainties. It designs desired commands based on relative positions and uses online data learning for uncertainty approximation. Simulation results show improved tracking performance and approximation accuracy with this method.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

Dynamic evolution model of pedestrian cooperation behavior based on coordination game

Yunyun Niu et al.

Summary: This article explores the evolution of pedestrian cooperative behavior during evacuation using replicator dynamics. By establishing a pedestrian game network and modeling the decision-making process of pedestrians using coordination games. It is found that a higher proportion of initial cooperators leads the system towards cooperation, while high panic levels and pedestrian density lead to evolution towards defection.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Engineering, Electrical & Electronic

3D Transformative Routing for UAV Swarming Networks: A Skeleton-Guided, GPS-Free Approach

Lin Zhang et al.

Summary: In this paper, a challenging issue of efficiently establishing and maintaining routes in a 3D UAV network during dynamic swarming is addressed. Inspired by the human nervous system, a 3D transformative routing scheme is proposed, which includes proactive routing skeleton establishment, reactive, transformative path selection, and bottleneck-aware route maintenance. The proposed scheme is distributed and does not require GPS positions of the UAVs.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2021)

Review Computer Science, Artificial Intelligence

Trajectory planning for multi-robot systems: Methods and applications

Angel Madridano et al.

Summary: Path planning is a crucial aspect in the field of Artificial Intelligence, particularly in the context of Multi-Robot Systems. This work aims to provide a general overview of trajectory planning, compare different methods and algorithms for solving path planning problems in MRS, and demonstrate the applicability and importance of these methods in various areas for achieving autonomous and safe navigation of different types of vehicles.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Engineering, Electrical & Electronic

Sleep-Scheduling-Based Hierarchical Data Collection Algorithm for Gliders in Underwater Acoustic Sensor Networks

Guangjie Han et al.

Summary: Underwater acoustic sensor networks (UASNs) play a crucial role in ocean monitoring, but face challenges such as communication disruptions and node movement interference. To address these challenges, the SSHDCA algorithm is designed to improve efficiency through hierarchical data collection and energy-saving measures.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2021)

Article Engineering, Electrical & Electronic

Multi-AUV Collaborative Data Collection Algorithm Based on Q-Learning in Underwater Acoustic Sensor Networks

Guangjie Han et al.

Summary: A multi-AUV collaborative data collection algorithm is proposed to reduce the burden on a single AUV for data collection. The algorithm is divided into two stages: task allocation and path planning, effectively guiding AUVs to complete tasks and reduce energy consumption.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2021)

Article Engineering, Electrical & Electronic

Path Planning for Autonomous Underwater Vehicles Under the Influence of Ocean Currents Based on a Fusion Heuristic Algorithm

Jiabao Wen et al.

Summary: Research on path planning for AUVs has rapidly progressed, with traditional heuristic algorithms facing issues of slow convergence speed and premature convergence. To address these problems, a new heuristic algorithm combining genetic, ant colony optimization, and simulated annealing algorithms is proposed, alongside additional techniques to accelerate convergence and expand search space. The advantages of the proposed algorithm are demonstrated through simulated comparative experiments, along with the introduction of ocean current and kinematics models for AUV path planning under the influence of ocean currents.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2021)

Article Computer Science, Hardware & Architecture

SDN-Enabled Energy-Aware Routing in Underwater Multi-Modal Communication Networks

Rukhsana Ruby et al.

Summary: This study investigates the routing problem in underwater sensor networks and employs Software Defined Networking (SDN) to address performance issues by developing advanced algorithms to enhance network performance. The research findings show that the globally optimal routing scheme consistently outperforms existing decentralized routing protocols in terms of reliability, latency, energy efficiency, lifetime, and fairness.

IEEE-ACM TRANSACTIONS ON NETWORKING (2021)

Article Computer Science, Information Systems

The Origin and Evolution of Open Programmable Networks and SDN

Nikos Anerousis et al.

Summary: SDN, rooted in the digital transformation of telephone networks in the 1960s and 70s, has gradually evolved over the years, with key features emerging in the 90s and early 2000s. This evolution led to significant research advancements, standardization efforts by IEEE, and the establishment of the OpenFlow standard. The architectural transformation brought about by SDN has had a profound impact on modern cloud computing and next-generation networking.

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2021)

Article Information Science & Library Science

On the training of a neural network for online path planning with offline path planning algorithms

Inkyung Sung et al.

Summary: This paper explores the performance of neural networks as online path planners using different training path data sets generated by two offline path planning algorithms. The research also delves into the attributes of training data that contribute to the reliability of a neural network in online path planning.

INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT (2021)

Article Computer Science, Artificial Intelligence

An improved ant colony optimization algorithm based on particle swarm optimization algorithm for path planning of autonomous underwater vehicle

Gaofeng Che et al.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2020)

Article Engineering, Marine

Nonlinear Lyapounov based control of an underwater vehicle in presence of uncertainties and obstacles

Ali Keymasi Khalaji et al.

OCEAN ENGINEERING (2020)

Article Engineering, Marine

AUV 3D Path Planning Based on the Improved Hierarchical Deep Q Network

Yushan Sun et al.

JOURNAL OF MARINE SCIENCE AND ENGINEERING (2020)

Article Computer Science, Theory & Methods

A Survey of Network Virtualization Techniques for Internet of Things Using SDN and NFV

Iqbal Alam et al.

ACM COMPUTING SURVEYS (2020)

Article Engineering, Electrical & Electronic

A Software-Defined Opto-Acoustic Network Architecture for Internet of Underwater Things

Abdulkadir Celik et al.

IEEE COMMUNICATIONS MAGAZINE (2020)

Article Computer Science, Hardware & Architecture

An SDN Architecture for AUV-Based Underwater Wireless Networks to Enable Cooperative Underwater Search

Chuan Lin et al.

IEEE WIRELESS COMMUNICATIONS (2020)

Article Computer Science, Information Systems

Value-Based Hierarchical Information Collection for AUV-Enabled Internet of Underwater Things

Ruiyang Duan et al.

IEEE INTERNET OF THINGS JOURNAL (2020)

Article Computer Science, Information Systems

A Path Planning Scheme for AUV Flock-Based Internet-of-Underwater-Things Systems to Enable Transparent and Smart Ocean

Chuan Lin et al.

IEEE INTERNET OF THINGS JOURNAL (2020)

Article Computer Science, Information Systems

Multi-AUV SOM task allocation algorithm considering initial orientation and ocean current environment

Da-qi Zhu et al.

FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING (2019)

Article Computer Science, Information Systems

Path Planning Method for AUV Docking Based on Adaptive Quantum-Behaved Particle Swarm Optimization

Zeyu Li et al.

IEEE ACCESS (2019)

Article Computer Science, Theory & Methods

Software Defined Network-based control system for an efficient traffic management for emergency situations in smart cities

Albert Rego et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)

Article Engineering, Electrical & Electronic

Underwater Acoustic Modems

Sandra Sendra et al.

IEEE SENSORS JOURNAL (2016)

Article Telecommunications

Saving energy and improving communications using cooperative group-based Wireless Sensor Networks

Miguel Garcia et al.

TELECOMMUNICATION SYSTEMS (2013)

Review Computer Science, Hardware & Architecture

A survey on coverage and connectivity issues in wireless sensor networks

Chuan Zhu et al.

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2012)