An endurance and transmission balancing scheme for solar-powered UAV-aided charging data collection in IoT networks

IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Physical Communication Pub Date : 2025-03-07 DOI:10.1016/j.phycom.2025.102650
Conghui Hao , Yueyun Chen , Guang Chen
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Abstract

Solar-powered unmanned aerial vehicle (S-UAV) effectively alleviates the energy limitations of traditional UAV, providing greater degrees of freedom for energy allocation in S-UAV-aided charging-enabled data collection. However, the endurance of the S-UAV, ground device endurance, and data transmission performance are three crucial metrics for ensuring the completion of data collection. Optimizing one may not necessarily lead to satisfactory performance in the others. In this paper, we focus on balancing the endurance of S-UAV and ground devices, along with data transmission, to achieve a robust data collection. We propose a novel S-UAV utility to describe the energy consuming and harvesting of S-UAV and devices, and data collection volume from devices. Next, we maximize the proposed S-UAV utility function, via jointly optimizing 3D trajectory, velocity and device scheduling. To tackle the proposed mixed-integer non-convex maximization, we apply the block coordinate descent, slack variable substitution and successive convex approximation techniques to obtain a sub-optimal solution that converges in polynomial time. Numerical results demonstrate the proposed scheme achieves an effective balance among the endurance of the S-UAV, ground devices, and data transmission, outperforming state-of-the-art schemes. In the case of 120 s, it achieves an increase of 25.84% in average data collection volume and a 390.11% enhancement in device residual energy, while only sacrificing 3.28% of the S-UAV’s residual energy.
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太阳能无人飞行器(S-UAV)有效缓解了传统无人飞行器的能源限制,为 S-UAV 辅助充电式数据采集的能源分配提供了更大的自由度。然而,S-UAV 的续航时间、地面设备的续航时间和数据传输性能是确保完成数据采集的三个关键指标。优化其中一个指标不一定能使其他指标达到令人满意的性能。在本文中,我们将重点关注如何平衡 S-UAV 和地面设备的续航时间以及数据传输,以实现稳健的数据采集。我们提出了一种新颖的 S-UAV 实用程序,用于描述 S-UAV 和设备的能量消耗和收集,以及设备的数据收集量。接下来,我们通过联合优化三维轨迹、速度和设备调度来最大化所提出的 S-UAV 效用函数。为了解决所提出的混合整数非凸最大化问题,我们应用了块坐标下降、松弛变量替代和连续凸逼近技术,以获得在多项式时间内收敛的次优解。数值结果表明,所提出的方案在 S-UAV、地面设备和数据传输的续航时间之间实现了有效平衡,优于最先进的方案。在 120 秒的情况下,平均数据收集量增加了 25.84%,设备剩余能量增加了 390.11%,而 S-UAV 仅牺牲了 3.28% 的剩余能量。
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来源期刊
Physical Communication
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.
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Editorial Board Multi-slot optimized index modulation based on FHSS for efficient anti-jamming Base station power control strategy in ultra-dense networks via deep reinforcement learning An endurance and transmission balancing scheme for solar-powered UAV-aided charging data collection in IoT networks Cross-domain human activity recognition using reconstructed Wi-Fi signal
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