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Clustered Federated Learning With Adaptive Pruning for 6G Edge-Intelligent Transportation
Shoupeng Lu;Hao Yin;Peng Wang;Tianli Zhu;Cheng Dai;Shengxin Dai;Bing Guo
IEEE Transactions on Intelligent Transportation Systems
Year: 2025 | Early Access Article |
The upcoming 6G technology, with its high speed and low latency, is poised to become a foundational technology for intelligent transportation systems. To handle the massive data generated by connected vehicles in 6G environments, federated learning methods are essential. However, traditional centralized federated learning approaches still face challenges related to data and device heterogeneity, w...Show More
Deep Reinforcement Learning Based 3D-Trajectory Design and Task Offloading in UAV-Enabled MEC System
Chuanjie Liu;Yalin Zhong;Ruolin Wu;Siyu Ren;Shuang Du;Bing Guo
In unmanned aerial vehicle (UAV) enabled mobile edge computing (MEC) system, rotary-wing UAV can be dispatched to fly close to ground terminals (GTs) to execute their offloaded tasks. This can extend GTs' computing capability and save their energy cost. However, to enhance the energy efficiency of UAV propulsion, ensure successful completion of each GT's mission, and maintain a stable UAV-GT uplin...Show More
Enhancing Sales Forecasting Accuracy in the Presence of Missing Data
Jun Tang;Jingpeng Sun;Bing Guo;Yan Shen;Shengxin Dai;Peng Wang
Accurate sales forecasting serves as a critical foundation for informed business decision-making and numerous methodologies have been advanced by scholars predominantly rely on complete datasets, however, in practice, uncontrollable variables often result in the presence of missing data, diminishing the applicability of established techniques, so the sales forecasting research based on missing dat...Show More
Energy-Efficient Inference With Software–Hardware Co-Design for Sustainable Artificial Intelligence of Things
Shengxin Dai;Zheng Luo;Wendian Luo;Siyi Wang;Cheng Dai;Bing Guo;Xiaokang Zhou
The emerging field of Artificial Intelligence of Things (AIoT) is propelled by the remarkable success of deep learning and hardware evolution, which has a significant impact on our daily lives. However, because of their notorious computing resource intensity, the widespread deployment of AIoT devices requires substantial electricity consumption as support, inevitably escalating energy consumption,...Show More
A Data Completion Algorithm Based on Low-Rank Prior Knowledge for Data-Driven Applications
Jun Tang;Bing Guo;Yan Shen;Sahil Garg;Georges Kaddoum;M. Shamim Hossain
IEEE Transactions on Network and Service Management
Year: 2024 | Early Access Article |
Low rank tensor ring based data recovery algorithms have been widely used in data-driven consumer electronics to recover missing data entries in the collecting data pre-processing stage for providing stable and reliable service. However, traditional recovery methods often fail to utilize the abundant prior knowledge of data and the non-local self-similarity of the data, thus leading to the failure...Show More
Cross-Layer AKA Protocol for Industrial Control Based on Channel State Information
Industrial control technology faces serious communication security threats. Authenticated key agreement(AKA) protocols are essential to secure communication between industrial control nodes, but they must be efficient and robust due to resource constraints. Existing AKA protocols based on encryption algorithms have limitations such as vulnerability to clone attacks. Also, there is a lack of protoc...Show More
A Mutual-Influence-Aware Heuristic Method for Quantum Circuit Mapping
Kui Ye;Shengxin Dai;Bing Guo;Yan Shen;Chuanjie Liu;Kejun Bi;Fei Chen;Yuchuan Hu;Mingjie Zhao
Quantum circuit mapping (QCM) is a crucial preprocessing step for executing a logical circuit (LC) on noisy intermediate-scale quantum (NISQ) devices. Balancing the introduction of extra gates and the efficiency of preprocessing poses a significant challenge for the mapping process. To address this challenge, we propose the mutual-influence-aware (MIA) heuristic method by integrating an initial ma...Show More
ComChain: An Efficient and Secure Reputation-Driven Blockchain for Collaborative Edge-End Computing with Sharding
2024 IEEE Wireless Communications and Networking Conference (WCNC)
Year: 2024 | Conference Paper |
Designing blockchains for collaborative edge-end computing systems in open environments is challenging, especially in balancing security and performance. While sharding enhances throughput and security, most methods overlook collaborative edge-end computing requirements, disregarding diverse IIoT device reputations. Additionally, many lack effective consensus mechanisms, undermining resource colla...Show More
Lifecycle Optimization of Smart Contract for Different Scenarios in 6G Network
In the rapidly evolving landscape of the sixth generation (6G) network, smart contracts emerge as a pivotal technology for enforcing trustful rules. However, the conventional lifecycle model of smart contracts—encompassing stages from initiation to the termination of a contract instance—suffers from rigidity and lack of customization, leading to notable operational challenges. These challenges pri...Show More
Physical Layer Authentication for Industrial Control Based on Convolutional Denoising Autoencoder
Yanru Chen;Haoyu He;Shengjie Liu;Yuanyuan Zhang;Yang Li;Bin Xing;Bing Guo;Liangyin Chen
IEEE Internet of Things Journal
Cited by: Papers (2)
Industrial control systems rely on wireless devices and sensors, necessitating critical security. Physical layer authentication (PLA) is a promising mechanism for device authentication, utilizing its unique spatiotemporal characteristics and channel state randomness, which offers unforgeability and high informatics security with low computational overhead and efficiency in resource-constrained sce...Show More
Reward Maximization for Disaster Zone Monitoring With Heterogeneous UAVs
Wenzheng Xu;Chengxi Wang;Hongbin Xie;Weifa Liang;Haipeng Dai;Zichuan Xu;Ziming Wang;Bing Guo;Sajal K. Das
In this paper, we study the deployment of $K$ heterogeneous UAVs to monitor Points of Interest (PoIs) in a disaster zone, where a PoI may represent a school building or an office building, in which people are trapped. A UAV can take images/videos of PoIs and send its collected information back to a nearby rescue station for decision-making. Unlike most existing studies that focused on only homog...Show More
Online Parallel Attack Detection Method for Industrial Control Based on Multi-Bandpass Filter
Yanru Chen;Shijia Liu;Zilin Wang;Dizhi Wu;Yang Li;Bin Xing;Bing Guo;Liangyin Chen
IEEE Internet of Things Journal
Cited by: Papers (1)
Unlike conventional IT systems, industrial control systems (ICSs) requires tailored attack detection methods due to its unique communication protocols. Existing attack detection methods lack the ability to consider both detection accuracy and time performance, particularly for highly stealthy fake data injection attacks (FDIAs). To address these challenges, this work proposes an online parallel at...Show More
Deep Reinforcement Learning to Enhance the Energy-efficient Performance of Unmanned Aerial Vehicles-enabled Fog Radio Access Networks
Chuanjie Liu;Siyu Ren;Shuang Du;Cheng Dai;Bing Guo;Runzhi Fan
Nowadays, the use of unmanned aerial vehicles (UAVs) as the fog access points (F-APs) is of high practical value to future fog radio access networks (F-RANs). Compared to the F-AP, UAV enabled F-AP possesses stronger line-of-sight links with the ground terminals (GTs) due to its high altitude as well as high and flexible mobility in 3D spaces. Nevertheless, unlike terrestrial F-AP that has reliabl...Show More
Nowadays, federated learning emerges as a new technique to preserve data privacy in distributed machine learning by limiting local data to the client and only aggregating model parameters from multiple parties on the server side. However, it also faces consequent threats from malicious clients, and some methods have been proposed without sufficient defense capability and efficient aggregation. To ...Show More
Physical Layer Key Generation Scheme for MIMO System Based on Feature Fusion Autoencoder
Yanru Chen;Zhengyu Chen;Yuanyuan Zhang;Zhiyuan Luo;Yang Li;Bin Xing;Bing Guo;Liangyin Chen
IEEE Internet of Things Journal
Cited by: Papers (10)
Recently, the use of wireless channel state information (CSI) to generate encryption keys in the physical layer has gained significant attention from researchers. Unlike classical cryptography, this approach relies on the variability of the wireless channel, channel reciprocity, and spatial decorrelation to ensure security, making it more lightweight and providing strong randomness. This article p...Show More
Blockchain Exchange Optimization by Graph Partition and Merging in IoT Scenarios
IEEE Internet of Things Journal
Cited by: Papers (1)
Blockchain exchanges have been widely used for IoT-based resource sharing. An exchange consists of several related transactions where participants exchange their assets. However, the exchange can take a long time to complete due to different reasons (such as IoT device failure). Meanwhile, exchange fees are an important aspect, because an exchange usually contains multiple transactions, and the ex...Show More
Physical-Layer Secret Key Generation Based on Bidirectional Convergence Feature Learning Convolutional Network
Yanru Chen;Zhiyuan Luo;Zhiyuan Wang;Limin Sun;Yang Li;Bin Xing;Liangyin Chen;Bing Guo
IEEE Internet of Things Journal
Cited by: Papers (4)
Physical-layer secret key generation (PLKG) is a new research area that has emerged in recent years. It is aimed at scenarios where legitimate IoT devices communicate directly, interacting with confidential information for lower overhead and higher security by using wireless channel. When applying it to wireless feature extraction, noise removal is not taken into account in current deep learning n...Show More
ECC-Based Authenticated Key Agreement Protocol for Industrial Control System
Yanru Chen;Fengming Yin;Shunfang Hu;Limin Sun;Yang Li;Bin Xing;Liangyin Chen;Bing Guo
IEEE Internet of Things Journal
Cited by: Papers (15)
Nowadays, Industrial Internet of Things (IIoT) technology has made a great progress and the industrial control systems (ICSs) have been used extensively, which has brought more and more serious information security threats to the ICS at the same time. The authenticated key agreement (AKA) protocol is a common method to ensure the communication security. This work proposes a lightweight AKA protoco...Show More
ST-Bikes: Predicting Travel-Behaviors of Sharing-Bikes Exploiting Urban Big Data
Jun Chai;Jun Song;Hongwei Fan;Yibo Xu;Le Zhang;Bing Guo;Yawen Xu
With the development of the modern smart city, sharing-bikes require behaviors prediction for grid-level areas which is essential for intelligent transportation systems. A model which can predict bike sharing demand behaviours accurately can allocate sharing-bikes in advance to satisfy travel demands alongside saving energy, reducing traffic, cutting down waste for those sharing-bikes companies pu...Show More
Enhancing IoT Data and Semantic Interoperability Based on Entity Tree Embedding Under an Edge–Cloud Framework
Junyu Lu;Laurence T. Yang;Bing Guo;Qiang Li;Hong Su;Gongliang Li
IEEE Internet of Things Journal
Cited by: Papers (2)
Internet of Things (IoT) devices and services have become increasingly ubiquitous in recent years as they greatly facilitate our daily life. To promote IoT data and semantic interoperability, we propose an edge–cloud framework. The edge end is responsible for handling customized data processing tasks and transferring the processed data, while the cloud end deals with semantic information processin...Show More
Semi-supervised Graph Convolutional Neural Network Based Classification for Auto Parts Inventory Management
Fangpeng Weng;Bing Guo;Xinhua Suo;Xin Wu;Yuchuan Hu;Qin Zheng
Auto parts inventory management is an important link of the automobiles multi-value chain, which has a certain impact on the upstream procurement, downstream production and other links. However, there are many kinds of auto parts, which will lead to improper allocation of funds and uneven allocation of resource when managed according to a unified standard. Therefore, they need to be managed by cat...Show More
FedCo: Self-Supervised Learning in Federated Learning with Momentum Contrast
2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
Federated learning(FL) enables multiple partici-pants to build a common, robust machine learning model without sharing data, which is a key technique to address data privacy, security, access rights, and access to heterogeneous data. However, existing FL algorithms still fall short of expectations in unsupervised learning and Non-iid data, which are two major challenges that limit the applicabilit...Show More
Efficient Electronic Transaction Query Model for Light Nodes Based On Optimized Blockchain Structure
2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Various lightweight devices, such as mobile banks and IoT devices used for wireless payments and others, are increasingly incorporating blockchain-based electronic transaction systems. However, querying transactions requires synchronizing all current blocks, which wastes a great deal of time and storage space and is unsuitable for the timeliness requirements of electronic transaction scenarios and...Show More
BERT-Based Chinese NER with Lexicon and Position Enhanced Information Adapter
2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Recently, many approaches have performed Chinese NER using pre-trained models adding lexicon information, which has been proven to be more effective. A recent study LEBERT improves performance by fusing lexicon feature between the beginning layers of BERT. However, LEBERT ignores the po-sition information of words in sentences. In this paper, we propose Lexicon and Position Enhanced BERT (POSLEBER...Show More
In parallel and green computing, real-time multicore energy-aware scheduling is used to reduce the energy consumption of multicore processors. To evaluate such scheduling algorithms, theoretical simulation is a great approach in the early designing stage of the algorithm. However, numeral precision errors of the simulation progress can lead to unexpected results. This paper presents a precision me...Show More
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