Article
Computer Science, Hardware & Architecture
Qingyong Deng, Shaobo Huang, Zhetao Li, Bin Guo, Liyao Xiang, Rong Ran
Summary: This paper proposes a data collection strategy for mobile vehicles and UAVs to address data security and coverage limitations, and proposes a strategy to prioritize recruiting high-trust MVs.
Article
Engineering, Multidisciplinary
Xiao Liu, Houbing Song, Anfeng Liu
Summary: This study proposes a matrix completion-based Sampling Points Selection joint Intelligent Unmanned Aerial Vehicle (UAVs) Trajectory Optimization (SPS-IUTO) scheme, which significantly improves energy and redundant data issues.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Computer Science, Information Systems
Yu Zhang, Zhiyu Mou, Feifei Gao, Ling Xing, Jing Jiang, Zhu Han
Summary: The emerging backscatter communication technology holds promise for solving the battery problem of IoT devices, but its transmission range is limited. To address this challenge, a multi-UAV-aided data collection scenario was proposed to minimize total flight time. The algorithms effectively handle multiple boundary scenarios for UAV flying regions.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Review
Agronomy
Daniel Olson, James Anderson
Summary: The advancement of UAV technologies in agriculture offers producers the ability to enhance efficiency and quality of crop production, as well as the capability to quickly identify and address problematic areas.
Article
Chemistry, Analytical
Nicolas Jacob-Loyola, Felipe Munoz-La Rivera, Rodrigo F. Herrera, Edison Atencio
Summary: This research proposes a method for recording the actual progress of a construction site through manual operation of UAVs and the use of point clouds obtained under photogrammetric techniques, which is then compared with actual progress in a 4D BIM environment. The results demonstrate the effectiveness of this method for UAV operation and monitoring actual progress.
Article
Automation & Control Systems
Weizhen Wang, Xin Chen, Jiangbo Jia, Zaifei Fu
Summary: This paper focuses on the problem of localization and encirclement control of a moving target by multiple unmanned aerial vehicles (UAVs). A distributed control algorithm based on cooperative moving path following (CMPF) is proposed to guide the UAVs to form evenly spaced formations along the circumference and track the movement of the target. The simulation results demonstrate the effectiveness of the proposed method.
IET CONTROL THEORY AND APPLICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Yassine Mekdad, Ahmet Aris, Leonardo Babun, Abdeslam El Fergougui, Mauro Conti, Riccardo Lazzeretti, Selcuk Uluagac
Summary: With the rapid growth of the drone industry, the integration of drones in civilian applications and smart cities is becoming increasingly important. However, the affordability and complexity of drone technology also bring vulnerabilities and threats, leading to significant challenges in security and privacy. This paper extensively surveys the security and privacy issues of drones, providing a systematic classification and investigation of vulnerabilities, threats, attacks, countermeasures, and mitigation techniques. The takeaways and future research directions are also summarized.
Review
Computer Science, Information Systems
Achilles D. Boursianis, Maria S. Papadopoulou, Panagiotis Diamantoulakis, Aglaia Liopa-Tsakalidi, Pantelis Barouchas, George Salahas, George Karagiannidis, Shaohua Wan, Sotirios K. Goudos
Summary: This paper investigates the applications of IoT and UAV technology in agriculture. The main principles of IoT technology, including intelligent sensors, IoT sensor types, networks, and protocols used in agriculture, as well as IoT applications and solutions in smart farming are described. The role of UAV technology in smart agriculture is also presented, analyzing its applications in various scenarios such as irrigation, fertilization, use of pesticides, weed management, plant growth monitoring, crop disease management, and field-level phenotyping. IoT and UAV technology are identified as two important technologies that transform traditional cultivation practices into a new perspective of intelligence in precision agriculture.
INTERNET OF THINGS
(2022)
Article
Chemistry, Analytical
Vincenzo Barrile, Silvia Simonetti, Rocco Citroni, Antonino Fotia, Giuliana Bilotta
Summary: This study emphasizes the importance of geomatics in agriculture 4.0, integrating various data sources through data fusion techniques. It optimizes vineyard cultivation and production by combining remote sensing techniques, UAVs, autonomous driving machines, and GIS. The study utilizes NDVI applied to satellite and drone images to assess plant vigor, and an autonomous guided vehicle equipped with sensors and monitoring systems to optimize fertilization, irrigation, etc. The findings are visualized on a GIS and historical data is incorporated for improved field management.
Article
Computer Science, Information Systems
Rooha Masroor, Muhammad Naeem, Tallha Akram, Abdullah M. Almasoud, Waleed Ejaz
Summary: This paper examines three deployment problems related to balloons, UAVs, and users, and introduces an optimal and a greedy algorithm to solve them effectively.
INTERNET OF THINGS
(2023)
Review
Plant Sciences
Tianhai Wang, Yadong Liu, Minghui Wang, Qing Fan, Hongkun Tian, Xi Qiao, Yanzhou Li
Summary: This review highlights the importance of using unmanned aerial systems (UAS) to monitor crop biomass, discusses current challenges, and explores future research directions.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Mathematics
Krassimir T. Atanassov, Peter Vassilev, Vassia Atanassova, Olympia Roeva, Rosen Iliev, Dafina Zoteva, Veselina Bureva, Deyan Mavrov, Alexander Alexandrov
Summary: The paper presents a Generalized Net (GN) model for terrain observation with UAVs to prevent and detect wildfires rapidly. The model describes the coordination of reconnaissance and specialized drones to provide video and sensory information for the localization of fires.
Article
Computer Science, Interdisciplinary Applications
Amit Sharma, Pradeep Kumar Singh
Summary: The burning of agricultural residues has detrimental effects on soil, health, and the environment. Utilizing drone technology for real-time monitoring allows for accurate analysis of the residues and identification of burning areas, assisting authorities in taking timely measures. This is an important initiative for environmental protection.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Xijun Wang, Mengjie Yi, Juan Liu, Yan Zhang, Meng Wang, Bo Bai
Summary: In this paper, we study cooperative data collection using multiple Unmanned Aerial Vehicles (UAVs) to minimize the total average Age of Information. We optimize the data collection process considering various constraints of the UAVs and propose a multi-agent Deep Reinforcement Learning (DRL)-based algorithm to address the challenges of the problem. Simulation results demonstrate the effectiveness of the proposed algorithms in reducing the total average AoI and improving convergence speed.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Praveen Kumar Reddy Maddikunta, Saqib Hakak, Mamoun Alazab, Sweta Bhattacharya, Thippa Reddy Gadekallu, Wazir Zada Khan, Quoc-Viet Pham
Summary: Smart farming is expected to expand globally in the next few years, with a major focus on the use of unmanned aerial vehicles (UAVs). Cost and ease of control play crucial roles in motivating farmers to utilize UAVs in agriculture, making technologies like Smart Bluetooth a cost-effective and widely accessible option for operating UAVs in smart farming practices.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Information Systems
Jiaxin Du, Guangjie Han, Chuan Lin, Miguel Martinez-Garcia
Summary: In this paper, a new anomaly and attack resilient trust model based on isolation forest is proposed for trustworthiness evaluation and defective node detection in underwater acoustic sensor networks. The model takes into consideration the effects of underwater environmental noise on trust reliability and utilizes isolation forest algorithm for accurate calculation of node trust and effective detection of defective nodes.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Economics
Barsha Saha, Miguel Martinez-Garcia, Sharad Nath Bhattacharya, Rohit Joshi
Summary: Through interactions with active consumers, inactive consumers can overcome inertia and make better choices, benefiting market competition and firm profits. Understanding consumer inertia and finding ways to reduce it are crucial for companies.
Article
Computer Science, Information Systems
Li Liu, Guangjie Han, Zhengwei Xu, Lei Shu, Miguel Martinez-Garcia, Bao Peng
Summary: This article proposes a motion behavior learning predictive tracking algorithm for continuous objects in industrial wireless sensor networks (IWSNs). The algorithm uses a data-driven approach to recognize motion states and utilizes Bayesian model averaging for future boundary prediction. The prediction provides the knowledge for establishing a wake-up zone, where standby nodes are activated in advance to participate in boundary tracking.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Engineering, Electrical & Electronic
Jiaxin Du, Guangjie Han, Chuan Lin, Miguel Martinez-Garcia
Summary: This work proposes an adaptive trust model, called LTrust, based on the LSTM network model for UASNs. LTrust consists of two stages: trust data collection and trust evaluation. In the first stage, network topology characteristics are used to evaluate direct trust evidence, and a filtering method is designed for accurate trust recommendations. In the second stage, an adaptive trust model based on the LSTM model is designed to identify anomalous nodes. Simulation results show that LTrust achieves effective performance compared to other approaches in terms of trust value, accuracy, and error rate.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Chuan Lin, Guangjie Han, Jinfang Jiang, Chao Li, Syed Bilal Hussain Shah, Qian Liu
Summary: This paper proposes an intelligent underwater pollution tracking system based on AUVs, which utilizes edge computing and software-defined networks to accurately track the concentration lines of underwater pollution. Evaluation results indicate that the system can effectively track the concentration lines within a satisfactory error.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Hao Wang, Guangjie Han, Weizhe Lai, Yun Hou, Chuan Lin
Summary: With the increasing demand for smart ocean projects, the Internet of Underwater Things (IoUT) integrating multiple networks is becoming mainstream, especially in civil, commercial, and military scenarios. This study focuses on protecting the location privacy of both static and mobile underwater sources. By using the Ekman drift model, a multi-round gaming approach is adopted to protect the static source location, and trajectory protection is implemented to prevent tracking of the mobile source. The simulation results of the proposed scheme show the probability of source capture and demonstrate its longer safety period compared to other schemes.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Jinfang Jiang, Shanshan Hua, Guangjie Han, Aohan Li, Chuan Lin
Summary: In this study, a controversy-adjudication method is proposed to handle conflict recommendations in trust calculation, and a novel trust management mechanism is investigated based on this method. The mechanism includes three phases: trust calculation, trust recommendation, and trust evaluation. Trust evidences are collected to calculate trust for trustees, and recommendations are provided for trustors without sufficient evidences. An incentive mechanism based on the prisoner's dilemma is proposed to encourage participation in trust recommendation. Trust values are obtained through trust evaluation using the controversy-adjudication mechanism. Simulation results demonstrate the superiority of the proposed mechanism in terms of accuracy and robustness against unreliable IoUT.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Automation & Control Systems
Guangjie Han, Min Wang, Hongbo Zhu, Chuan Lin
Summary: This study proposes a multi-progressive image deblurring network to correct blurring artifacts and local details in underwater images. A deformable convolution module is designed to address nonuniform image distortion and enrich image representation. With a stepwise feature refinement module, the network reduces the loss of contextual information and generates more realistic underwater images. Experimental evaluations show excellent results and comparisons with state-of-the-art algorithms demonstrate significant improvement in deblur performance. Ablation experiments further validate the effectiveness of all the modules in the proposed framework.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Civil
Qiuzi Tao, Guangjie Han, Chuan Lin, Lei Wang, Shuqiang Huang, Chang Lu
Summary: In this work, a multi-submersible system is treated as a paradigm of the underwater Internet of Vehicle (IoV) and optimized using Software-Defined Networking (SDN) technique. An artificial flow potential field algorithm is proposed for path planning, considering ocean current factors. A dual leader-follower algorithm-based escort formation obstacle avoidance mechanism is proposed to improve the safety and efficiency of path planning. Simulation tests show that the proposed scheme performs better in data delivery and has high stability and strong practicability in multi-submersible formation control and path planning.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Chuan Lin, Guangjie Han, Qiuzi Tao, Li Liu, Syed Bilal Hussain Shah, Tongwei Zhang, Zhenglin Li
Summary: This paper presents how to use AUV swarm or multi-AUVs system to track underwater diffusion pollution and optimize the network architecture using SDN technology. The proposed CTDE architecture and self-attention-based SAC algorithm optimize system control and management. Evaluation results demonstrate the effectiveness of our approach in tracking equipotential lines and system performance compared to classical schemes.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Chuan Lin, Guangjie Han, Tongwei Zhang, Syed Bilal Hussain Shah, Yan Peng
Summary: This study aims to detect and reduce underwater diffusion pollution by introducing Autonomous Underwater Vehicle (AUV) and Software-Defined Networking (SDN) techniques in a new SDNA-ITS framework. The control model is built using artificial potential field theories, and the system output is optimized using a graph-based Soft Actor-Critic (SAC) algorithm. Simulation results demonstrate the effectiveness of the proposed method in real-world scenarios.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Rao Fu, Yuanguo Bi, Guangjie Han, Chuan Lin, Hai Zhao
Summary: Continuous object tracking plays a crucial role in protecting people's safety, and the Industrial Internet of Things (IIoT) is a promising technology for continuous object tracking. However, IIoT faces challenges in energy efficiency and tracking accuracy due to diffusion characteristics and redundant packets. To address these challenges, we propose a two-stage continuous object predictive tracking scheme based on a state transition model (TCOT-STM), which uses communication range calibration, wake-up region establishment, and state transition model to reduce energy consumption and improve tracking accuracy.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Geochemistry & Geophysics
Guangjie Han, Min Wang, Hongbo Zhu, Chuan Lin
Summary: This article proposes a lightweight encoder-decoder architecture (UIENet) to enhance underwater images and reports better performance than state-of-the-art schemes. The proposed method surpasses the baselines on benchmark datasets and demonstrates its generalization performance through testing on various datasets.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Engineering, Civil
Guangjie Han, Xingyue Qi, Yan Peng, Chuan Lin, Yu Zhang, Qi Lu
Summary: This paper investigates the underwater wireless networks based on multiple autonomous underwater vehicles and proposes a software-defined network model. By utilizing efficient data sharing and intelligent network functions, an early warning obstacle avoidance path planning scheme is proposed to ensure the safe navigation of the network.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Hardware & Architecture
Jinfang Jiang, Guangjie Han, Hongbo Zhu, Chuan Lin
Summary: In this article, a novel framework for security assessment (SA) in smart factories is proposed. The framework uses visual sensing to automatically detect objects and employs graph convolutional network and recurrent neural network to capture key interactions and evaluate security.
IEEE TRANSACTIONS ON RELIABILITY
(2022)