Autonomous Cooperative Search Model for Multi-UAV With Limited Communication Network

Fei, Bowen; Bao, Weidong; Zhu, Xiaomin; Liu, Daqian; Men, Tong; Xiao, Zhenliang

doi:10.1109/jiot.2022.3165278

Cited by 51 publications

(6 citation statements)

References 30 publications

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“…The research in [52] dedicated to the development of a multi-UAV flight strategy aimed at enhancing cooperative search capabilities within a dynamic communication environment marked by uncertainty. Concretely, a novel cooperative framework tailored for a localized communication network is formulated to govern the positioning of multiple UAVs during the search operation.…”

Section: ) Task-based Uavs Cooperationmentioning

confidence: 99%

A Comprehensive Survey on 5G-and-Beyond Networks With UAVs: Applications, Emerging Technologies, Regulatory Aspects, Research Trends and Challenges

Banafaa,

Pepeoğlu,

Shayea

et al. 2024

IEEE Access

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The rapid advancement of fifth-generation (5G)-and-beyond networks coupled with unmanned aerial vehicles (UAVs) has opened up exciting possibilities for diverse applications and cutting-edge technologies, revolutionizing the way connections, communications, and innovations unfold in the digital age. This paper presents a comprehensive survey of the deployment scenarios, applications, emerging technologies, regulatory aspects, research trends, and challenges associated with the use of UAVs in 5G-and-beyond networks. It begins with a succinct background and motivation, followed by a systematic UAV classification and a review of relevant works. The survey covers UAV deployment scenarios, including single and multiple UAV configurations. The categorization of UAV applications in 5G is presented, along with investigations into emerging technologies for enhancing UAV communications. Regulatory considerations encompassing flight guidelines, spectrum allocation, privacy, and safety are discussed. Moreover, light is shed on the latest research trends and open challenges in the field, with promising directions for future investigations identified, concluding with a summary of key findings and contributions. This survey serves as a valuable resource for researchers, practitioners, and policymakers in the UAV and communication domains. Additionally, it offers a comprehensive foundation for informed decision-making, fostering collaboration, and driving advancements in UAV and communication technologies to address the evolving needs of our interconnected world.INDEX TERMS Drone, 5G, unmanned aerial vehicles, wireless systems.

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Section: ) Task-based Uavs Cooperationmentioning

confidence: 99%

A Comprehensive Survey on 5G-and-Beyond Networks With UAVs: Applications, Emerging Technologies, Regulatory Aspects, Research Trends and Challenges

Banafaa,

Pepeoğlu,

Shayea

et al. 2024

IEEE Access

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show abstract

“…MQTT (Message Queuing Telemetry Transport) is a lightweight publish/subscribe messaging protocol designed for use in low-bandwidth, unreliable, or high-latency network environments. It is particularly suitable for mobile devices and remote monitoring applications, due to its low power consumption and high efficiency characteristics, making it widely used in the field of Internet of Things [4] .…”

Section: Mqttmentioning

confidence: 99%

The Application and Research of Internet of Things Technology in the Field of Electronic Communication

2023

acss

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With the continuous progress of science and technology, the Internet of Things is more and more widely used in the field of electronic communication, which has brought great changes to various industries. In this paper, the basic components, communication protocols and standards of iot technology are discussed in depth, and its specific applications in the fields of smart home, industrial Internet of Things, intelligent transportation systems and healthcare are analyzed. The article also explores the data bandwidth, latency, energy efficiency, and security and privacy challenges faced by iot technologies in their applications, as well as research trends to address these challenges. Through comprehensive analysis, it aims to provide readers with a comprehensive understanding of the application of the Internet of Things in the field of electronic communication, and also provide directions for future research.

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“…This algorithm guides the coordinated movement of UAVs during the search task using an information probability graph and B-spline curve, enabling the generation of an obstacle avoidance path. In paper [15], Fei et al combine communication cost with formation search efficiency as optimization objectives and employ the sparrow search algorithm to solve the optimization problem. Ultimately, the control architecture on the UAV observation position is constructed to prevent collision among the UAVs.…”

Section: Related Workmentioning

confidence: 99%

Research on Scheme Design and Decision of Multiple Unmanned Aerial Vehicle Cooperation Anti-Submarine Based on Knowledge-Driven Soft Actor-Critic

Zhang,

Yue,

Tang

2023

Applied Sciences

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To enhance the anti-submarine and search capabilities of multiple Unmanned Aerial Vehicle (UAV) groups in complex marine environments, this paper proposes a flexible action-evaluation algorithm known as Knowledge-Driven Soft Actor-Critic (KD-SAC), which can effectively interact with real-time environmental information. KD-SAC is a reinforcement learning algorithm that consists of two main components: UAV Group Search Knowledge Base (UGSKB) and path planning strategy. Firstly, based on the UGSKB, we establish a cooperation search framework that comprises three layers of information models: the data layer provides prior information and fundamental search rules to the system, the knowledge layer enriches search rules and database in continuous searching processes, and the decision layer utilizes above two layers of information models to enable autonomous decision-making by UAVs. Secondly, we propose a rule-based deductive inference return visit (RDIRV) strategy to enhance the knowledge base of search. The core concept of this strategy is to enable UAVs to learn from both successful and unsuccessful experiences, thereby enriching the search rules based on optimal decisions as exemplary cases. This approach can significantly enhance the learning performance of KD-SAC. The subsequent step involves designing an event-based UGSKB calling mechanism at the decision-making level, which calls a template based on the target and current motion. Finally, it uses a punishment function, and is then employed to achieve optimal decision-making for UAV actions and states. The feasibility and superiority of our proposed algorithm are demonstrated through experimental comparisons with alternative methods. The final results demonstrate that the proposed method achieves a success rate of 73.63% in multi-UAV flight path planning within complex environments, surpassing the other three algorithms by 17.27%, 29.88%, and 33.51%, respectively. In addition, the KD-SAC algorithm outperforms the other three algorithms in terms of synergy and average search reward.

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Autonomous Cooperative Search Model for Multi-UAV With Limited Communication Network

Cited by 51 publications

References 30 publications

A Comprehensive Survey on 5G-and-Beyond Networks With UAVs: Applications, Emerging Technologies, Regulatory Aspects, Research Trends and Challenges

A Comprehensive Survey on 5G-and-Beyond Networks With UAVs: Applications, Emerging Technologies, Regulatory Aspects, Research Trends and Challenges

The Application and Research of Internet of Things Technology in the Field of Electronic Communication

Research on Scheme Design and Decision of Multiple Unmanned Aerial Vehicle Cooperation Anti-Submarine Based on Knowledge-Driven Soft Actor-Critic

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