无人机群中有效且高效的无人机首领选择方案

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication Pub Date : 2024-10-03 DOI:10.1016/j.phycom.2024.102513

Cheru Haile Tesfay , Zheng Xiang , Long Yang , Michael Abebe Berwo , Jabar Mahmood , Shehzad Ashraf Chaudhry

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引用次数: 0

摘要

因此，本研究旨在为无人机群中的领导者和协调者选择引入一个新框架，以进一步减少通信延迟并提高数据传输速率。所提出的可靠框架可避免单点故障。我们采用综合贪婪法来选择领导者，以更好的信道增益、更高的数据传输速率和最小的往返延迟作为衡量标准。此外，无人机协调器的选择基于最近的距离。此外，本研究还提出了一种高效的迭代算法，用于有效选择无人机领导者和协调者。实验结果表明，与现有方法相比，我们提出的协议可将延迟减少 20%，并将数据传输速率提高 102bps。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

An effective and efficient UAV leader selection scheme in swarm of UAVs

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An effective and efficient UAV leader selection scheme in swarm of UAVs

Therefore, this study aims to introduce a novel framework for leader and coordinator selection in a swarm of UAVs that may further reduce communication delay and increase the data transmission rate. The proposed reliable framework avoids single-point failure. We use an integrated greedy approach for leader selection using better channel gain, enhanced data transmission rate, and minimal round-trip delays as metrics. Furthermore, the UAV coordinator is selected based on the nearest distance. In addition, this study also proposes an efficient and iterative algorithm for the effective selection of UAV leaders and coordinators. The experimental results indicate that our proposed protocol minimizes delay by 20% and increases the data transmission rate by

1 0^{2} bps

as compared with existing methods.

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来源期刊

Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS

CiteScore

5.00

自引率

9.10%

发文量

212

审稿时长

55 days

期刊介绍： PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.