Article
Automation & Control Systems
Yuanda Wang, Wenzhang Liu, Jian Liu, Changyin Sun
Summary: This paper investigates the visual navigation and control of a cooperative USV-UAV system for marine search and rescue. A deep learning-based visual detection architecture is developed to extract positional information from UAV images, improving accuracy and efficiency. A reinforcement learning-based USV control strategy is proposed, which can learn a motion control policy with enhanced disturbance rejection ability. Simulation results show stable and accurate position estimation and satisfactory control ability under wave disturbances.
Article
Social Issues
Cristina Del-Real, Antonio M. Diaz-Fernandez
Summary: The use of rescue drones is expected to increase in the future, depending on public acceptance. Studies have found moderate public acceptance of rescue drones, with influencing factors being perceived benefits and risks. Participants without lifeguard services at beaches are more likely to accept the use of rescue drones, initiating discussions on variables associated with public acceptance.
TECHNOLOGY IN SOCIETY
(2021)
Article
Computer Science, Artificial Intelligence
Ignacio Martinez-Alpiste, Gelayol Golcarenarenji, Qi Wang, Jose Maria Alcaraz-Calero
Summary: This paper presents a new system for Search and Rescue (SAR) missions using a combination of a UAV and machine-learning-based object detection system on a smartphone. The system achieved a high accuracy of 94.73% and is highly portable, cost-effective, and fast.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Quyuan Luo, Tom H. H. Luan, Weisong Shi, Pingzhi Fan
Summary: In this paper, an edge computing enabled multi-UAV cooperative search mechanism is developed to address the issue of repeatedly executing computation-intensive and energy-consuming search tasks. A uncertainty minimization-based cooperative target search strategy is proposed and validated to outperform existing strategies in reducing uncertainty.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Robotics
D. C. Schedl, I Kurmi, O. Bimber
Summary: Autonomous drones have shown great potential in finding hidden persons in densely occluded forests during search and rescue missions. Through field experiments, it has been proven that these drones can adaptively sample and improve classification confidence, leading to quicker and more reliable detection of individuals. This technology also enables SAR operations in remote areas with unstable network coverage, ensuring effective communication with rescue teams.
Review
Environmental Sciences
Mingyang Lyu, Yibo Zhao, Chao Huang, Hailong Huang
Summary: This article aims to provide readers with an understanding of the latest progress and trends in the field of UAV search and rescue by synthesizing and organizing relevant papers. It discusses the various types and components of UAVs and their importance in SAR operations. The article also reviews the integration of sensors in UAVs for SAR purposes, highlighting their roles in target perception, localization, and identification. Furthermore, it explores the applications of UAVs in SAR, including on-site monitoring and modeling, target perception and localization, and SAR operations such as task assignment, path planning, and collision avoidance. Overall, it presents a comprehensive overview of the significant role of UAVs in enhancing SAR operations and discusses potential avenues for improving their performance.
Article
Automation & Control Systems
Roberto G. Ribeiro, Luciano P. Cota, Thiago A. M. Euzebio, Jaime A. Ramirez, Frederico G. Guimaraes
Summary: This study focuses on the use of UAVs for search and rescue missions, proposing a new variant of the vehicle routing problem and developing a mixed-integer linear program model for the integrated use of UAVs and mobile charging stations. Numerical tests conducted at the Corrego do Feijao Mine in Brazil demonstrate that the proposed methodology offers an efficient and rapid planning method for search and rescue missions.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Computer Science, Information Systems
Muhammad Atif, Rizwan Ahmad, Waqas Ahmad, Liang Zhao, Joel J. P. C. Rodrigues
Summary: In the aftermath of disasters, it is crucial to localize trapped victims for their safety and rescue. This article introduces a novel approach using unmanned aerial vehicles (UAVs) for localization and path planning, which can extract neighbor information from devices using directed wireless power transfer. The proposed method optimizes UAV search energy and reduces energy costs by clustering in noisy environments, achieving linear scaling of the searched area with noise levels.
IEEE SYSTEMS JOURNAL
(2021)
Article
Computer Science, Interdisciplinary Applications
Sung Won Cho, Hyun Ji Park, Hanseob Lee, David Hyunchul Shim, Sun-Young Kim
Summary: The number of casualties in the maritime sector is increasing, and to improve the efficiency of maritime search and rescue operations, a coverage path planning method using UAVs has been proposed. This method involves a two-phase strategy to minimize search area and completion time, yielding excellent results in real flight experiments.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Civil
Moayad Aloqaily, Ismaeel Al Ridhawi, Mohsen Guizani
Summary: This article introduces a solution that integrates the capabilities of UAVs and UGVs to provide intelligent connectivity and services to aerial and ground connected devices. It ensures continuous power availability to UAVs through cooperative processing, and employs Federated Learning and Blockchain technology for accurate and secure service provisioning. Extensive simulations show significant improvements in connectivity, service availability, and UAV energy enhancements compared to traditional communication techniques.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Review
Telecommunications
Adarsh Kumar, Diego Augusto de Jesus Pacheco, Keshav Kaushik, Joel J. P. C. Rodrigues
Summary: This study investigates the potential applications of drone-related futuristic disruptive technologies, such as quantum drones, the Internet of Quantum Drones (IoQDs), and a constellation of quantum satellites, in strategic areas of societal interest. The results reveal new opportunities and advancements in these technologies, while also addressing their challenges and risks.
VEHICULAR COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Lei Yuan, Nan Yang, Fang Fang, Zhiguo Ding
Summary: This paper presents a performance analysis in a UAV-assisted ground short-packet communication system, using a UAV as a wireless relay to achieve URLLC between a base station and a UE. The system model considers large-scale and small-scale fading, and optimizes block length, transmit power, and UAV flying height to maximize energy efficiency under reliability and latency constraints. Monte-Carlo simulations are provided to verify the analytical results.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Hardware & Architecture
Zhou Su, Yuntao Wang, Qichao Xu, Ning Zhang
Summary: This article proposes a lightweight vehicular blockchain-enabled secure (LVBS) data sharing framework for UAV-aided IoV in disaster rescue. The framework utilizes the collaboration between UAVs and blockchain to enable data sharing and secure driving in disaster areas. The research shows that this framework improves the security of the consensus phase and promotes high-quality data sharing.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
(2022)
Article
Computer Science, Information Systems
Tien-Tung Nguyen, Sang Quang Nguyen
Summary: In this paper, a non-orthogonal multiple access (NOMA)-enabled unmanned aerial vehicle (UAV)-aided Internet of Things (IoT) system with short packet communications over Nakagami-m fading channel is investigated. The performance of the system is evaluated by determining the cumulative distribution function of the received signal-to-interference-plus-noise ratio. The results show that increasing the number of antennas at the UAV significantly improves the performance of the users, and the system achieves diversity gain at high signal-to-noise ratio regime.
COMPUTER COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Libin Hong, Yue Wang, Yichen Du, Xin Chen, Yujun Zheng
Summary: The paper proposes a method for UAV search planning problem and validates its superior performance through computational experiments.
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Raheeb Muzaffar, Evsen Yanmaz, Christian Raffelsberger, Christian Bettstetter, Andrea Cavallaro
Article
Computer Science, Information Systems
Udo Schilcher, Jorge F. Schmidt, Mahin K. Atiq, Christian Bettstetter
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2020)
Article
Computer Science, Information Systems
Udo Schilcher, Jorge F. Schmidt, Christian Bettstetter
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2020)
Article
Computer Science, Hardware & Architecture
Bernhard Rinner, Christian Bettstetter, Hermann Hellwagner, Stephan Weiss
Summary: As drones have evolved into agile devices, the challenge is to integrate multiple drones into an autonomous system. Connectivity, communication, and coordination are essential for these multi-drone systems to function effectively.
Article
Engineering, Electrical & Electronic
Jorge F. Schmidt, Udo Schilcher, Mahin K. Atiq, Christian Bettstetter
Summary: This article introduces and evaluates a technique for predicting interference levels in wireless networks. A recursive predictor is designed to estimate future interference values by filtering measured interference. Results show a good accuracy of predicted values versus true values within relevant time horizons, and the predictor also tends to work well in more general network scenarios.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Robotics
Samira Hayat, Roland Jung, Hermann Hellwagner, Christian Bettstetter, Driton Emini, Dominik Schnieders
Summary: This study evaluates the role of edge computing in 5G for small drones that navigate using cameras, exploring the feasibility of offloading image processing tasks to an edge server. By comparing different computation modes, it aims to determine the most suitable image processing mode based on network conditions.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Computer Science, Information Systems
Evsen Yanmaz
Summary: This study proposes the use of drones as relays to support mission-oriented UAV networks, separating mission and communication tasks. A modular relay positioning and trajectory planning algorithm is proposed, which can guarantee connectivity with minimum number of relays and feasible trajectories. Results show that the proposed scheme can reduce the number of relays, increase utilization, and decrease the number of hops between nodes.
Article
Computer Science, Information Systems
Evsen Yanmaz
Summary: In this paper, the authors focus on path planning of drone teams deployed for search and rescue missions. The paper compares joint and decoupled multi-drone path planning approaches and proposes a hybrid planner that combines the advantages of both approaches. The analysis shows that the hybrid scheme can result in better connectivity and total mission time, but may have higher mission time for very small number of search drones.
Article
Engineering, Electrical & Electronic
Mahin K. Atiq, Udo Schilcher, Xhemal Pengili, Martin Haenggi, Christian Bettstetter
Summary: This article analyzes the temporal dynamics of interference in wireless networks and their impact on performance by studying high-interference events called "pikes," finding that pikes often arrive in bursts. The study reveals that in Poisson networks with random access and multipath fading, pike interarrival time increases with interference correlation, regardless of the source and burstiness of the pikes. The article also includes experimental results from a measurement campaign conducted in different commercial 4G cellular networks, confirming the burstiness of interference pikes in the real-world.
IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Jorge F. Schmidt, Daniel Neuhold, Christian Bettstetter, Jirka Klaue, Dominic Schupke
Summary: The aerospace industry is increasingly adopting wireless solutions for on-board communications to improve flight safety, reduce costs, and minimize environmental impact. However, challenges such as security, coexistence, and power sustainability need to be addressed. Ultra-wideband (UWB) technology is seen as a promising implementation path for intra-aircraft communications, offering a unique trade-off between power consumption and data rate. Experimental results from deploying off-the-shelf UWB transceivers in an Airbus A319 support the discussion and highlight the challenges ahead.
Article
Physics, Fluids & Plasmas
Arke Vogell, Udo Schilcher, Christian Bettstetter
Article
Computer Science, Artificial Intelligence
Evsen Yanmaz Adam
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
(2020)
Article
Computer Science, Information Systems
Jorge F. Schmidt, Denis Chernov, Christian Bettstetter
Article
Computer Science, Information Systems
Agata Barcis, Christian Bettstetter
Article
Computer Science, Information Systems
Muna Al-Hawawreh, Nour Moustafa
Summary: Cyber-physical control loops are crucial in the industrial Internet of Things, but vulnerable to attacks. This study proposes an AI-based attack intelligence framework for identifying and extracting attack intelligence, and demonstrates its effectiveness using a real-world case.
Article
Computer Science, Information Systems
Youcef Azzoug, Abdelmadjid Boukra
Summary: This paper presents a novel JBR routing protocol based on swarm-inspired optimization to reduce data packet loss and introduces a concept of route stability to predict the stability degree of road segments.
Article
Computer Science, Information Systems
Paulo Cesar Prandel, Priscila Solis Barreto
Summary: This study proposes two stateful techniques, LGFS-C and LGFS-C-peak, which optimize AoI metrics by making conditional preemption decisions on packets based on system state variables. Experimental results show that both techniques achieve better optimization results than the state-of-the-art techniques and may improve CPS performance.
Article
Computer Science, Information Systems
Michele Girolami, Davide La Rosa, Paolo Barsocchi
Summary: In this work, a CrowdSensing-based proximity detection technique for visitors in an indoor museum is proposed and investigated. The technique utilizes data collected from users' smartphones, which can collect and upload Received Signal Strength (RSS) values of nearby Bluetooth tags to a backend server along with context-information. Experimental results show a clear improvement in performance when data from the crowd are exploited with the proposed architecture.
Review
Computer Science, Information Systems
Nazli Tekin, Ahmet Aris, Abbas Acar, Selcuk Uluagac, Vehbi Cagri Gungor
Summary: This paper provides a review of existing studies on energy consumption of on-device machine learning models for IoT applications. It introduces a taxonomy to define approaches for energy-aware on-device ML models and discusses open issues for further research in this field.
Article
Computer Science, Information Systems
Yangyang Li, Lei Feng, Yang Yang, Wenjing Li
Summary: This study investigates a task offloading scheme and trajectory optimization in a multi-UAV-assisted system and proposes a heterogeneous multi-agent reinforcement learning-based approach. By training with generated environment states offline, the algorithm's performance is optimized, resulting in superior energy consumption and task latency.
Article
Computer Science, Information Systems
Xinrong Zhang, Ye-Hwa Chen, Dongsheng Zhang, Ruiying Zhao, Lei Guo
Summary: This paper proposes a game-theoretic method based on constraint following theory to enhance the control resilience of cyber-physical systems. It addresses the uncertainties, mechanical constraints, and cyberattacks that these systems may encounter. Experimental results demonstrate the resilience of the controlled system against cyberattack disturbances and other threat attacks, and simulations verify the superiority of the optimal control design parameter.
Article
Computer Science, Information Systems
Shahaf Yamin, Haim H. Permuter
Summary: This study examines the problem of downlink wireless routing in integrated access backhaul (IAB) networks and proposes a multi-agent reinforcement learning algorithm for joint routing optimization. Experimental results demonstrate the effectiveness of the algorithm in achieving near-centralized performance.
Article
Computer Science, Information Systems
Phuong T. Tran, Le Thi Thanh Huyen, Ba Cao Nguyen, Huu Minh Nguyen, Tran Manh Hoang
Summary: This paper introduces and investigates a system utilizing an unmanned aerial vehicle (UAV) to assist terrestrial backscattering devices (BDs) in wireless energy charging and data transmission. The study considers energy efficiency (EE) and age-of-information (AoI) in performance assessment, and solves an optimization problem to maximize EE and minimize transmit power. Analytical and simulation results show that optimizing packet length and UAV altitude can achieve the best performance.
Article
Computer Science, Information Systems
Mohammed Aissaoui, Chiraz Houaidia, Adrien Van Den Bossche, Thierry Val, Leila Azouz Saidane
Summary: This paper proposes a distributed MAC protocol that supports PNC in static multi-hop wireless networks. The protocol's advantages over conventional CSMA/CA and PNCOPP MAC protocols are demonstrated through practical testing and numerical results.
Article
Computer Science, Information Systems
Mohamed Selim Korium, Mohamed Saber, Alexander Beattie, Arun Narayanan, Subham Sahoo, Pedro H. J. Nardelli
Summary: This paper presents a novel framework for intrusion detection in the Internet of Vehicles environment, specifically designed to detect cyberattacks on vehicles. The proposed system uses machine learning to detect abnormal behavior by analyzing network traffic. Experimental results demonstrate the effectiveness of the system in terms of accuracy and speed.
Article
Computer Science, Information Systems
Xue Li, Xiaojuan Chen, Guohua Li
Summary: This study proposes a two-tier cooperative edge network model for Power Internet of Things (PIoT) and introduces a fairness indicator based on the Theil index. By formulating a fairness and delay guaranteed task offloading and load balancing optimization problem, the research demonstrates that cooperation at the edge can significantly improve the performance of PIoT.
Article
Computer Science, Information Systems
Kun Yang, Peng Sun, Dingkang Yang, Jieyu Lin, Azzedine Boukerche, Liang Song
Summary: The focus of this research is to effectively coordinate the limited computing power of various components in intelligent transportation systems (ITS) and provide reliable support for resource-intensive applications through efficient resource allocation methods in the highly dynamic Internet-of-Vehicles environment. A novel joint computing and communication resource scheduling method is proposed, which includes a hierarchical three-layer Vehicular Edge Computing (VEC) framework and onboard joint computation offloading and transmission scheduling policy. Extensive simulation tests and ablation experiments demonstrate the effectiveness and stability of the proposed method in achieving stable performance and reducing scheduling overhead, improving resource utilization, and minimizing data transmission delay caused by vehicle motion.
Article
Computer Science, Information Systems
Rakesh Das, Jitendra Nath Bera
Summary: This paper focuses on the development of a highly reliable customized home area networking (HAN) to provide a robust communication network for smart home owners. The proposed HAN utilizes a multi-gateway-based partial mesh networking topology with ZigBee control boards to enable remote monitoring and control of individual appliances within the home. The introduction of active and pseudo gateway concept enhances the reliability of the HAN by automatically reconfiguring in case of failure. Experimental verification demonstrates the fail-proof and reliable nature of the proposed HAN with alternate routes and activation of pseudo gateway as active gateway.
Article
Computer Science, Information Systems
Changhao Li, Huanjing Li, Tao Wu, Lei Yan, Suzhi Cao
Summary: The maximum flow problem based on a contact graph in Delay-Tolerant Networking (DTN) is important for routing and data planning. Existing algorithms cannot be directly applied to topological networks with time series changes. This paper proposes a method of dismantling and reconstructing the graph to solve the maximum flow problem in a continuously changing network. The method discretizes time on different nodes to reduce the scale of the graph, optimizing data transmission, improving data delivery rate, and reducing link occupation.
