Tsinghua Science and Technology最新文献_第5页

Deep Learning-Based Thermal Imaging Analysis to Diagnose Abnormalities in Sports Buildings: Smart Cyber-Physical Monitoring Sensors at the Edge 基于深度学习的热成像分析诊断体育建筑异常：边缘的智能网络物理监测传感器

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2025-03-03 DOI: 10.26599/TST.2023.9010130

Tengfei Fan;Wenmin Lin

{"title":"Deep Learning-Based Thermal Imaging Analysis to Diagnose Abnormalities in Sports Buildings: Smart Cyber-Physical Monitoring Sensors at the Edge","authors":"Tengfei Fan;Wenmin Lin","doi":"10.26599/TST.2023.9010130","DOIUrl":"https://doi.org/10.26599/TST.2023.9010130","url":null,"abstract":"A joint green-edge computing idea is now realized in practice with the help of intelligent infrastructure for modern sport venues, based on Internet of Things (IoT) platforms and Cyber-Physical Systems (CPS). To monitor their sports actions, athletes need smart environments. Using edge-enabled low-cost and low-power sensors, such as infrared monitoring systems that analyze thermal information, this environment should alert to possible physical damages. Early recognition of sports injuries and joint injuries can usually prevent athletes from pain and missing exercise. One of the most efficient methods for identifying pain and movement problems is to monitor the energy emitted by lower limb injuries. By analyzing thermal images of the lower body parts, this research attempts to automatically identify sports injuries. The thermal image is first isolated from the region of interest. Convolutional structures are applied to identify lesions using a newly developed and optimized method. The performance of the classifier is performed with the possibility of deep learning by pruning the features, to reduce the computational complexity and improve the accuracy, and a model has been developed based on the classification of sports injuries in binary mode (i.e., whether the lesions are present or not) and multiclass mode (i.e., the severity of sports injuries) resulted in optimal results. Thermal images show the different states of joints, including lesions caused by various sports in the lower limbs. This model could provide the ability of solving uncertainty of answers, repeatability, and convergence towards minimum error. As compared to conventional feature extraction and classification approaches, the outputs are more acceptable. By taking advantage of the K-fold cross-validation method, the average error of the proposed method to detect the severity of damage is less than 2.22%.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 4","pages":"1457-1473"},"PeriodicalIF":6.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10908671","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143553180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Intelligent Traffic Monitoring System in Congested Regions with Prioritization for Emergency Vehicle Using UAV Networks 基于无人机网络的应急车辆优先级拥堵智能交通监控系统

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2025-03-03 DOI: 10.26599/TST.2023.9010078

V. D. Ambeth Kumar;Venkatesan Ramachandran;Mamoon Rashid;Abdul Rehman Javed;Shayla Islam;Abdullah Al Hejaili

{"title":"An Intelligent Traffic Monitoring System in Congested Regions with Prioritization for Emergency Vehicle Using UAV Networks","authors":"V. D. Ambeth Kumar;Venkatesan Ramachandran;Mamoon Rashid;Abdul Rehman Javed;Shayla Islam;Abdullah Al Hejaili","doi":"10.26599/TST.2023.9010078","DOIUrl":"https://doi.org/10.26599/TST.2023.9010078","url":null,"abstract":"Unmanned Aerial Vehicles (UAVs) are enabled to be fast and flexible in managing traffic compared to the conventional methods. However, in emergencies, this system takes more time to identify and clear the traffic because of fixed time control. To overcome this problem, an automated intelligent traffic monitoring and controlling system is designed using YOLO V3 neural architecture and implemented to detect the emergency vehicles from video stream data from UAVs using deep Convolution Neural Network (CNN) along with rerouting algorithm to provide the safest alternate route from current position to destination, in a heavy traffic environment. The real-time visual data collected through UAV video cameras are trained using machine learning algorithms to produce statistical profiles that are used continuously as updated inputs to the existing traffic simulation models for improving predictions. The proposed automated system performs exemplary in recognizing emergency vehicles and diverting them to an alternate route for quick transportation in various scenarios.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 4","pages":"1387-1400"},"PeriodicalIF":6.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10908597","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143553511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Lightweight and Privacy-Preserving IoT Service Recommendation Based on Learning to Hash 基于哈希学习的轻量级隐私保护物联网服务推荐

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2025-03-03 DOI: 10.26599/TST.2024.9010064

Haoyang Wan;Yanping Wu;Yihong Yang;Chao Yan;Xiaoxiao Chi;Xuyun Zhang;Shigen Shen

{"title":"Lightweight and Privacy-Preserving IoT Service Recommendation Based on Learning to Hash","authors":"Haoyang Wan;Yanping Wu;Yihong Yang;Chao Yan;Xiaoxiao Chi;Xuyun Zhang;Shigen Shen","doi":"10.26599/TST.2024.9010064","DOIUrl":"https://doi.org/10.26599/TST.2024.9010064","url":null,"abstract":"In the Internet of Things (IoT) environment, user-service interaction data are often stored in multiple distributed platforms. In this situation, recommender systems need to integrate the distributed user-service interaction data across different platforms for making a comprehensive recommendation decision, during which user privacy is probably disclosed. Moreover, as user-service interaction records accumulate over time, they significantly reduce the efficiency of recommendations. To tackle these issues, we propose a lightweight and privacy-preserving service recommendation approach named SerRec<inf>L2H</inf>. In SerRec<inf>L2H</inf>, we employ Learning to Hash (L2H) to encapsulate sensitive user-service interaction data into less-sensitive user indices, which facilitates identifying users with similar preferences efficiently for accurate recommendations. We then validate the feasibility of our proposed SerRec<inf>L2H</inf> approach through massive experiments conducted on the popular WS-DREAM dataset. The comparative analysis with other competitive approaches demonstrates that our proposal surpasses other approaches in terms of recommendation accuracy and efficiency while protecting user privacy.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 4","pages":"1793-1807"},"PeriodicalIF":6.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10908664","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143535437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of a Maritime Autoencoder Communication System Based on Attention Mechanisms and DenseBlock 基于注意机制和DenseBlock的海上自编码器通信系统设计

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2025-03-03 DOI: 10.26599/TST.2023.9010150

Xiaoling Han;Bin Lin;Shuai Shao;Nan Wu;Haocheng Wang;Liping Qian;Yuan Wu

{"title":"Design of a Maritime Autoencoder Communication System Based on Attention Mechanisms and DenseBlock","authors":"Xiaoling Han;Bin Lin;Shuai Shao;Nan Wu;Haocheng Wang;Liping Qian;Yuan Wu","doi":"10.26599/TST.2023.9010150","DOIUrl":"https://doi.org/10.26599/TST.2023.9010150","url":null,"abstract":"As the maritime industry continues to thrive and maritime services diversify, the demand for highly reliable maritime communication systems has become increasingly prominent. However, harsh marine conditions pose significant challenges to communication systems. In this work, we propose a Maritime AutoEncoder (MAE) communication system based on Attention Mechanisms (AMs) and DenseBlock (namely AM-Dense-MAE). AM-Dense-MAE utilizes DenseBlock and long short-term memory to extract deep features and capture spatio-temporal relationships, addressing the issue of “long-term dependency”. Furthermore, the decoder incorporates spatial attention modules and convolutional block attention module to enhance the preservation of crucial information and suppress irrelevant data. We employ the Rician fading channel model to simulate maritime communication channels. A substantial volume of data is utilized for model training and parameter optimization. Simulation results demonstrate that, in comparison to the benchmarks, the proposed AM-Dense-MAE exhibits better block error rate performance under various signal-to-noise ratio conditions and showcases generalization capabilities across diverse parameter settings.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 4","pages":"1496-1510"},"PeriodicalIF":6.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10908674","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143553182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization of Speed Control and Reduction of Torque Ripple in Switched Reluctance Motors Using Metaheuristic Algorithms Based PID and FOPID Controllers at the Edge 基于边缘PID和FOPID控制器的元启发式算法优化开关磁阻电机的速度控制和转矩脉动减小

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2025-03-03 DOI: 10.26599/TST.2024.9010021

Mostafa Jabari;Amin Rad

{"title":"Optimization of Speed Control and Reduction of Torque Ripple in Switched Reluctance Motors Using Metaheuristic Algorithms Based PID and FOPID Controllers at the Edge","authors":"Mostafa Jabari;Amin Rad","doi":"10.26599/TST.2024.9010021","DOIUrl":"https://doi.org/10.26599/TST.2024.9010021","url":null,"abstract":"This paper demonstrates the application of optimization techniques, namely the Dung Beetle Optimizer (DBO) and the Ant-Lion Optimizer (ALO), to enhance the performance of cascaded Proportional Integral Derivative (PID) and Fractional Order PID (FOPID) controllers at the edge of an industrial network for Switched Reluctance Motor (SRM) speed control and torque ripple reduction. These techniques present notable advantages in terms of faster convergence and reduced computational complexity compared to existing optimization methods. Our research employs PID and FOPID controllers to regulate the speed and torque of the SRM, with a comparative analysis of other optimization approaches. In the domain of SRM control, we highlight the significance of the hysteresis band block in mitigating sudden state transitions, especially crucial for ensuring stable operation in the presence of noisy or slightly variable input signals requiring precise control. The results underscore the superior performance of the proposed optimization strategies, particularly showcasing the DBO-based cascaded PID and FOPID controllers, which exhibit reduced torque and current ripples along with improved speed response. Our investigation encompasses diverse loading conditions and is substantiated through time-domain simulations performed using MATLAB/SIMULINK.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 4","pages":"1526-1538"},"PeriodicalIF":6.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10908595","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143553223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

HEDMGame: Fragmentation-Aware Mitigation of Heterogeneous Edge DoS Attacks 异构边缘DoS攻击的碎片感知缓解

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2025-03-03 DOI: 10.26599/TST.2024.9010061

Jie Pan;Qiang He;Guangming Cui;Yiwen Zhang;Yun Yang

{"title":"HEDMGame: Fragmentation-Aware Mitigation of Heterogeneous Edge DoS Attacks","authors":"Jie Pan;Qiang He;Guangming Cui;Yiwen Zhang;Yun Yang","doi":"10.26599/TST.2024.9010061","DOIUrl":"https://doi.org/10.26599/TST.2024.9010061","url":null,"abstract":"Mobile Edge Computing (MEC) is a pivotal technology that provides agile-response services by deploying computation and storage resources in proximity to end-users. However, resource-constrained edge servers fall victim to Denial-of-Service (DoS) attacks easily. Failures to mitigate DoS attacks effectively hinder the delivery of reliable and sustainable edge services. Conventional DoS mitigation solutions in cloud computing environments are not directly applicable in MEC environments because their design did not factor in the unique characteristics of MEC environments, e.g., constrained resources on edge servers and requirements for low service latency. Existing solutions mitigate edge DoS attacks by transferring user requests from edge servers under attacks to others for processing. Furthermore, the heterogeneity in end-users' resource demands can cause resource fragmentation on edge servers and undermine the ability of these solutions to mitigate DoS attacks effectively. User requests often have to be transferred far away for processing, which increases the service latency. To tackle this challenge, this paper presents a fragmentation-aware gaming approach called HEDMGame that attempts to minimize service latency by matching user requests to edge servers' remaining resources while making request-transferring decisions. Through theoretical analysis and experimental evaluation, we validate the effectiveness and efficiency of HEDMGame, and demonstrate its superiority over the state-of-the-art solution.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 4","pages":"1724-1743"},"PeriodicalIF":6.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10908668","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143553213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Blockchain Enabled Metaverse: Development and Applications 区块链启用的元宇宙：开发和应用

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2025-03-03 DOI: 10.26599/TST.2024.9010054

Haoling Meng;Jianguo Ding;Hongmei Wang;Zhimin Zhang;Xuanxia Yao;Huansheng Ning

{"title":"Blockchain Enabled Metaverse: Development and Applications","authors":"Haoling Meng;Jianguo Ding;Hongmei Wang;Zhimin Zhang;Xuanxia Yao;Huansheng Ning","doi":"10.26599/TST.2024.9010054","DOIUrl":"https://doi.org/10.26599/TST.2024.9010054","url":null,"abstract":"The metaverse has gradually come into the public eye and has become a hotspot in cyberspace, but it still faces many technical difficulties to be solved. Blockchain is a key component of the metaverse, enhancing the development of the metaverse by connecting the real and virtual worlds seamlessly and solving some of the difficulties faced by the metaverse. Our paper comprehensively studies the development and application of blockchain technology in the metaverse. First, there is an introduction to blockchain and the metaverse, followed by a discussion of why blockchain should be integrated into the metaverse. Second, an overview of the main blockchain technologies is provided to evaluate blockchain's role in the metaverse and the value is summarized. Third, the development of future integration of blockchain and metaverse is presented from the perspective of social life and technology. For social life, how to use blockchain in the metaverse to enhance and improve social life is discussed. Then, from the technical perspective, it discusses how blockchain shapes the metaverse. Finally, challenges associated with the integration of blockchain into metaverses are analyzed and some promising research directions and solutions are proposed.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 4","pages":"1552-1582"},"PeriodicalIF":6.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10908672","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143553140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

EFSP-TE: End-to-End Frame-Semantic Parsing with Table Encoder 端到端帧语义解析与表编码器

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2025-03-03 DOI: 10.26599/TST.2024.9010036

Xuefeng Su;Ru Li;Xiaoli Li;Zhichao Yan

{"title":"EFSP-TE: End-to-End Frame-Semantic Parsing with Table Encoder","authors":"Xuefeng Su;Ru Li;Xiaoli Li;Zhichao Yan","doi":"10.26599/TST.2024.9010036","DOIUrl":"https://doi.org/10.26599/TST.2024.9010036","url":null,"abstract":"Frame-Semantic Parsing (FSP) aims to extract frame-semantic structures from text. The task usually involves three subtasks sequentially: Target Identification (TI), Frame Identification (Fl), and Frame Semantic Role Labeling (FSRL). The three subtasks are closely related while most previous studies model them individually, encountering error propagation and running efficiency problems. Recently, an end-to-end graph-based model is proposed to jointly process three subtasks in one model. However, it still encounters three problems: insufficient semantic modeling between targets and arguments, span missing, and lacking knowledge incorporation of FrameNet. To address the mentioned problems, this paper presents an End-to-end FSP model with Table Encoder (EFSP-TE), which models FSP as two semantically dependent region classification problems and extracts frame-semantic structures from sentences in a one-step manner. Specifically, EFSP-TE incorporates lexical unit knowledge into context encoder via saliency embedding, and develops an effective table representation learning method based on Biaffine network and multi-layer ResNet-style-CNNs (Convolutional Neural Networks), which can fully exploit word-to-word interactions and capture the information of various levels of semantic relations between targets and arguments. In addition, it adopts two separate region-based modules to obtain potential targets and arguments, followed by two interactive classification modules to predict the frames and roles for the potential targets and arguments. Experiments on two public benchmarks show that the proposed approach achieves state-of-the-art performance in end-to-end setting.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 4","pages":"1474-1495"},"PeriodicalIF":6.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10908675","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143553337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Role Identification Based Method for Cyberbullying Analysis in Social Edge Computing 基于角色识别的社会边缘计算网络欺凌分析方法

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2025-03-03 DOI: 10.26599/TST.2024.9010066

Runyu Wang;Tun Lu;Peng Zhang;Ning Gu

{"title":"Role Identification Based Method for Cyberbullying Analysis in Social Edge Computing","authors":"Runyu Wang;Tun Lu;Peng Zhang;Ning Gu","doi":"10.26599/TST.2024.9010066","DOIUrl":"https://doi.org/10.26599/TST.2024.9010066","url":null,"abstract":"Over the past few years, many efforts have been dedicated to studying cyberbullying in social edge computing devices, and most of them focus on three roles: victims, perpetrators, and bystanders. If we want to obtain a deep insight into the formation, evolution, and intervention of cyberbullying in devices at the edge of the Internet, it is necessary to explore more fine-grained roles. This paper presents a multi-level method for role feature modeling and proposes a differential evolution-assisted K-means (DEK) method to identify diverse roles. Our work aims to provide a role identification scheme for cyberbullying scenarios for social edge computing environments to alleviate the general safety issues that cyberbullying brings. The experiments on ten real-world datasets obtained from Weibo and five public datasets show that the proposed DEK outperforms the existing approaches on the method level. After clustering, we obtain nine roles and analyze the characteristics of each role and their evolution trends under different cyberbullying scenarios. Our work in this paper can be placed in devices at the edge of the Internet, leading to better real-time identification performance and adapting to the broad geographic location and high mobility of mobile devices.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 4","pages":"1659-1684"},"PeriodicalIF":6.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10908657","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143553179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Resource Management and Trajectory Optimization for UAV-IRS Assisted Maritime Edge Computing Networks 无人机- irs辅助海上边缘计算网络的资源管理和轨迹优化

IF 6.6 1区计算机科学

Tsinghua Science and Technology Pub Date : 2025-03-03 DOI: 10.26599/TST.2024.9010074

Chaoyue Zhang;Bin Lin;Xu Hu;Shuang Qi;Liping Qian;Yuan Wu

{"title":"Resource Management and Trajectory Optimization for UAV-IRS Assisted Maritime Edge Computing Networks","authors":"Chaoyue Zhang;Bin Lin;Xu Hu;Shuang Qi;Liping Qian;Yuan Wu","doi":"10.26599/TST.2024.9010074","DOIUrl":"https://doi.org/10.26599/TST.2024.9010074","url":null,"abstract":"With the exponential growth of maritime wireless devices and the rapid development of maritime applications, traditional maritime communication networks encounter communication and computation limitations in supporting computation-intensive and latency-critical tasks. Edge computing and Intelligent Reflecting Surface (IRS) have emerged as promising techniques to improve communication and computation services for maritime devices with limited computation capabilities and battery capacity. This paper studies an IRS Mounted on Unmanned Aerial Vehicle (UIRS) assisted maritime edge computing network, in which the UIRS is deployed to assist the transmission from Unmanned Surface Vehicles (USVs) to the edge server via Non-Orthogonal Multiple Access (NOMA) protocol. We propose a resource management and trajectory optimization scheme by jointly optimizing subslot duration, offloading ratios, transmit power, edge computation capability allocation, UIRS phase shifts and UIRS trajectory, aiming at minimizing the overall energy consumption. Since the non-convex nature of the optimization problem, we propose a two-layered method by decomposing the original problem into two subproblems. The top-layered subproblem is solved by the Semi-Definite Relaxation (SDR) method and the underlying-layered subproblem is solved by the Deep Deterministic Policy Gradient (DDPG) algorithm. Numerical results demonstrate that our proposed scheme can effectively and efficiently reduce overall energy consumption.","PeriodicalId":48690,"journal":{"name":"Tsinghua Science and Technology","volume":"30 4","pages":"1600-1616"},"PeriodicalIF":6.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10908662","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143553211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0