{"title":"An endurance and transmission balancing scheme for solar-powered UAV-aided charging data collection in IoT networks","authors":"Conghui Hao , Yueyun Chen , Guang Chen","doi":"10.1016/j.phycom.2025.102650","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"71 ","pages":"Article 102650"},"PeriodicalIF":2.0000,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Communication","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1874490725000539","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
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.
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.