Lida Zhu - IEEE Xplore Author Profile

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Author details

Lida Zhu

Also published under: Lida zhu

Publications

7

Citations

8

Publications by Year

20072024

Co-Authors:

Chunxia ZhuCong SuZiwen CuiErtao ChenFengji Liang

Show All Co-Authors (23)

Lida Zhu

Also published under: Lida zhu

Affiliation

College of Informatics

Huazhong Agricultural University

Wuhan, China

Publication Topics

Finite Element,
Virtual Technology,
Advanced Manufacturing Technologies,
Breast Cancer,
Cancer Drug,
Classism,
Complex Products,
Context-specific Regulation,
Customer Demand,
Deadlock,
Deep Learning,
Design Process

Biography

Lida Zhu is received the graduated from Wuhan University with a bachelor's degree in computer science and technology, the master's degree in ICT from Agder University in Norway, and obtained a doctoral degree in computer science from Wuhan University. She is currently employed by the Information School of Huazhong Agricultural University. She has long been engaged in the research of artificial intelligence algorithms and their applications in biomedical Big Data analysis. She has published more than 20 papers in journals such as Frontiers in AAAI, BIBM, Genetics, Plos One, and BMC Bioinformatics. She serves as a reviewer for several important journals, including Frontiers in Genetics, BMC Bioinformatics, and Neurocomputing. She has particip...

Publications

7

Citations

8

Publications by Year

20072024

Co-Authors:

Chunxia Zhu
Cong Su
Ziwen Cui
Ertao Chen
Fengji Liang

Show All Co-Authors (23)

Author's Published Works

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Showing 1-25 of 33 results

Journals (21)

Conferences (10)

Early Access Articles (1)

Magazines (1)

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Science and Technology on Security Communication Laboratory, Institute of Southwestern Communication, Chengdu, China(11)
College of Computer Science, Sichuan University, Chengdu, China(9)
College of Computer Science and Institute for Industrial Internet Research, Sichuan University, Chengdu, China(6)
School of Computer Science, Sichuan University, Chengdu, China(5)
Institute for Industrial Internet Research, Sichuan University, Chengdu, China(5)
IEEE Internet of Things Journal(13)
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IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)(2)
IEEE Transactions on Information Forensics and Security(2)
2019 IEEE International Conference on Industrial Internet (ICII)(1)
IEEE(33)
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Industrial Control Systems(7)
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HTM-CDFK: An Online Industrial Control Anomaly Detection Algorithm based on Hierarchical Time Memory

Jingwen Liu;Yuanyuan Zhang;Zilin Wang;Yi Ren;Liangyin Chen;Yanru Chen

IEEE Transactions on Dependable and Secure Computing

Year: 2025 | Early Access Article |

With the rapid advancement of industrial structures, many factories are deploying anomaly detection systems. However, most existing anomaly detection algorithms are unsuitable for high-noise industrial control system (ICS) environments and constantly changing sensor patterns, resulting in low detection accuracy. To address these challenges, we propose a hierarchical temporal memory-based online an...Show More

HTM-CDFK: An Online Industrial Control Anomaly Detection Algorithm based on Hierarchical Time Memory

Jingwen Liu;Yuanyuan Zhang;Zilin Wang;Yi Ren;Liangyin Chen;Yanru Chen

IEEE Transactions on Dependable and Secure Computing

Year: 2025 | Early Access Article |

Enhancing Physical Layer Authentication in Mobile WiFi Environments Using Sliding Window and Deep Learning

Yuanyuan Zhang;Yuchen Huang;Haoyu He;Yanru Guo;Liangyin Chen;Yanru Chen

IEEE Transactions on Wireless Communications

Year: 2025 | Volume: 24, Issue: 1 | Journal Article |

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The convenience of wireless communication has led to its widespread adoption across various application scenarios. However, existing Physical Layer Authentication (PLA) schemes still have limitations in terms of adaptability. This paper introduces a novel method based on key-less channel-based authentication framework designed to enhance PLA performance under different mobility patterns. Our metho...Show More

Enhancing Physical Layer Authentication in Mobile WiFi Environments Using Sliding Window and Deep Learning

Yuanyuan Zhang;Yuchen Huang;Haoyu He;Yanru Guo;Liangyin Chen;Yanru Chen

IEEE Transactions on Wireless Communications

Year: 2025 | Volume: 24, Issue: 1 | Journal Article |

TSM-KFE: A Two-stage-shared Federated Learning Model Based on Key Feature Extraction

Yuanyuan Zhang;Jingwen Liu;Hanyang Zhang;Jingpeng Li;Liangyin Chen;Yanru Chen

2024 IEEE International Conference on Smart Internet of Things (SmartIoT)

Year: 2024 | Conference Paper |

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To address the issue of data heterogeneity and data privacy in blockchain and federated learning-based data-sharing models, this paper proposes a Two-stage-shared Federated Learning Model based on Key Feature Extraction (TSM-KFE). Specifically, in the TSM-KFE data-sharing model, data providers use Variational Autoencoders (VAE) to extract key features from their local data and share these key feat...Show More

TSM-KFE: A Two-stage-shared Federated Learning Model Based on Key Feature Extraction

Yuanyuan Zhang;Jingwen Liu;Hanyang Zhang;Jingpeng Li;Liangyin Chen;Yanru Chen

2024 IEEE International Conference on Smart Internet of Things (SmartIoT)

Year: 2024 | Conference Paper |

Aggregation Method for Electric Vehicles with Multi-Source Information Fusion Including Social Attributes

Yanru Chen;Senzhi Chai;Wentao Xu;Pu Yang;Yixuan Lu

2024 Second International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)

Year: 2024 | Conference Paper |

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As the concept of sustainable development becomes increasingly prevalent, the number of new energy vehicles is also on the rise. New energy vehicles, as flexible and controllable resources on the distribution network side, are a double-edged sword for the safe and stable operation of the distribution network. On the one hand, the large-scale and unorganized charging of new energy vehicles poses a ...Show More

Aggregation Method for Electric Vehicles with Multi-Source Information Fusion Including Social Attributes

Yanru Chen;Senzhi Chai;Wentao Xu;Pu Yang;Yixuan Lu

2024 Second International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)

Year: 2024 | Conference Paper |

TXL-Fuzz: A Long Attention Mechanism-Based Fuzz Testing Model for Industrial IoT Protocols

Liangyin Chen;Yihan Wang;Xuanyi Xiang;Dian Jin;Yi Ren;Yunhai Zhang;Zhiwen Pan;Yanru Chen

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 23 | Journal Article |

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In recent years, industrial control systems (ICSs) security incidents have revealed vulnerabilities in the system hardware, user programs, and communication protocols. The various components of the ICS are connected by the Industrial Internet of Things (IIoT) protocol. Nevertheless, malicious attackers can exploit vulnerabilities in IIoT protocol to manipulate the ICS, potentially causing damage t...Show More

TXL-Fuzz: A Long Attention Mechanism-Based Fuzz Testing Model for Industrial IoT Protocols

Liangyin Chen;Yihan Wang;Xuanyi Xiang;Dian Jin;Yi Ren;Yunhai Zhang;Zhiwen Pan;Yanru Chen

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 23 | Journal Article |

Cross-Layer AKA Protocol for Industrial Control Based on Channel State Information

Yanru Chen;Fengming Yin;Bing Guo;Zhiwen Pan;Liangyin Chen

IEEE Transactions on Information Forensics and Security

Year: 2024 | Volume: 19 | Journal Article |

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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

Cross-Layer AKA Protocol for Industrial Control Based on Channel State Information

Yanru Chen;Fengming Yin;Bing Guo;Zhiwen Pan;Liangyin Chen

IEEE Transactions on Information Forensics and Security

Year: 2024 | Volume: 19 | Journal Article |

Situation Awareness Method for Electric Vehicles Charging Pile Clusters Based on Edge Computing

Zhi Zhang;Hengyu Liu;Dawei Hu;Yanru Chen;Jiazheng Sun

2024 36th Chinese Control and Decision Conference (CCDC)

Year: 2024 | Conference Paper |

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In response to challenges characterized by strong randomness, wide spatial distribution, and high power demand within short time frames by a large volume of Electric Vehicles (EVs), a situation awareness method for electric vehicle charging pile clusters is proposed based on edge computing. In this method, some factors such as EVs charging, EVs flow speed in road network are comprehensively consid...Show More

Situation Awareness Method for Electric Vehicles Charging Pile Clusters Based on Edge Computing

Zhi Zhang;Hengyu Liu;Dawei Hu;Yanru Chen;Jiazheng Sun

2024 36th Chinese Control and Decision Conference (CCDC)

Year: 2024 | Conference Paper |

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

Year: 2024 | Volume: 11, Issue: 9 | Journal Article |

Cited by: Papers (2)

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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

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

Year: 2024 | Volume: 11, Issue: 9 | Journal Article |

Joint Scheduling and Offloading Schemes for Multiple Interdependent Computation Tasks in Mobile Edge Computing

Min Guo;Xin Hu;Yanru Chen;Yanbing Yang;Lei Zhang;Liangyin Chen

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 4 | Journal Article |

Cited by: Papers (2)

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Mobile edge computing (MEC) can sufficiently meet the computing demands of complex application consists of multiple interdependent tasks which can be represented by a directed acyclic graph (DAG). For tasks in a DAG, different scheduling orders and offloading decisions will generate different completion time, which further affects the Quality of Experiences (QoEs). So it is important to study the ...Show More

Joint Scheduling and Offloading Schemes for Multiple Interdependent Computation Tasks in Mobile Edge Computing

Min Guo;Xin Hu;Yanru Chen;Yanbing Yang;Lei Zhang;Liangyin Chen

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 4 | Journal Article |

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

Year: 2024 | Volume: 11, Issue: 1 | Journal Article |

Cited by: Papers (1)

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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

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

Year: 2024 | Volume: 11, Issue: 1 | Journal Article |

Malicious file detection method based on deep neural network and gray-scale graph feature fusion

Rui Wang;Haiwei Li;Jiaxuan Zhao;Zheng Xue;Lijuan Zhang;Yanru Chen;Yan Hao

2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT)

Year: 2023 | Conference Paper |

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The widespread spread and continuous evolution of malicious files pose a serious threat to the security of computer systems. Therefore, developing efficient and accurate malicious file detection methods has important research value. This paper presents a malicious file detection method based on gray graph features and deep neural network (DNN). First, the file is transformed into an image represen...Show More

Malicious file detection method based on deep neural network and gray-scale graph feature fusion

Rui Wang;Haiwei Li;Jiaxuan Zhao;Zheng Xue;Lijuan Zhang;Yanru Chen;Yan Hao

2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT)

Year: 2023 | Conference Paper |

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

Year: 2023 | Volume: 10, Issue: 16 | Journal Article |

Cited by: Papers (10)

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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

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

Year: 2023 | Volume: 10, Issue: 16 | Journal Article |

DC-ST: A Short-term traffic flow prediction Approach based on Distance Correlation and Spatial-Temporal Dependence

Chang Liu;LuoJie Lin;YuanYuan Zhang;YanRu Chen;Hao Wang;LiangYin Chen

2023 IEEE Applied Sensing Conference (APSCON)

Year: 2023 | Conference Paper |

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Accurate traffic flow prediction are very important for route planning, traffic control and intelligent driving. The uncertainty and complexity of traffic flow states makes it a challenging problem. In this work, we proposed a distance correlation based spatial-temporal prediction model. The double filtering criterion is developed to ensure the spatial-temporal validity and reduces the redundancy....Show More

DC-ST: A Short-term traffic flow prediction Approach based on Distance Correlation and Spatial-Temporal Dependence

Chang Liu;LuoJie Lin;YuanYuan Zhang;YanRu Chen;Hao Wang;LiangYin Chen

2023 IEEE Applied Sensing Conference (APSCON)

Year: 2023 | Conference Paper |

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

Year: 2023 | Volume: 10, Issue: 16 | Journal Article |

Cited by: Papers (4)

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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

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

Year: 2023 | Volume: 10, Issue: 16 | Journal Article |

Capability and Blockchain-Based Fine-Grained and Flexible Access Control Model

Yanru Chen;Li Tao;Bing Liang;Limin Sun;Yang Li;Bin Xing;Liangyin Chen

Year: 2023 | Volume: 37, Issue: 6 | Magazine Article |

Cited by: Papers (2)

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Currently, the integration of blockchain into access control systems has become a new research trend. However, existing access control systems still have problems such as easy confusion of capability authorisation subjects, inflexible capability granting and revocation, insufficient granularity of capability, insecure capability transfer and lack of capability verification. To solve these problems...Show More

Capability and Blockchain-Based Fine-Grained and Flexible Access Control Model

Yanru Chen;Li Tao;Bing Liang;Limin Sun;Yang Li;Bin Xing;Liangyin Chen

Year: 2023 | Volume: 37, Issue: 6 | Magazine Article |

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

Year: 2023 | Volume: 10, Issue: 6 | Journal Article |

Cited by: Papers (15)

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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

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

Year: 2023 | Volume: 10, Issue: 6 | Journal Article |

Provably Secure ECC-Based Authentication and Key Agreement Scheme for Advanced Metering Infrastructure in the Smart Grid

Shunfang Hu;Yanru Chen;Yilong Zheng;Bin Xing;Yang Li;Le Zhang;Liangyin Chen

IEEE Transactions on Industrial Informatics

Year: 2023 | Volume: 19, Issue: 4 | Journal Article |

Cited by: Papers (23)

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Advanced metering infrastructure (AMI) is a vital component of the smart grid (SG) for real-time data access and bidirectional communication. An authentication and key agreement (AKA) protocol is needed for AMI systems to ensure the confidentiality and integrity of communication data. Since the devices are connected to the open network and generally deployed outdoors with limited computation, comm...Show More

Provably Secure ECC-Based Authentication and Key Agreement Scheme for Advanced Metering Infrastructure in the Smart Grid

Shunfang Hu;Yanru Chen;Yilong Zheng;Bin Xing;Yang Li;Le Zhang;Liangyin Chen

IEEE Transactions on Industrial Informatics

Year: 2023 | Volume: 19, Issue: 4 | Journal Article |

DS2PM: A Data-Sharing Privacy Protection Model Based on Blockchain and Federated Learning

Yanru Chen;Jingpeng Li;Fan Wang;Kaifeng Yue;Yang Li;Bin Xing;Lei Zhang;Liangyin Chen

IEEE Internet of Things Journal

Year: 2023 | Volume: 10, Issue: 14 | Journal Article |

Cited by: Papers (21)

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With the development of big data and blockchain, an increasing number of scholars have begun to study blockchain for data sharing. By studying data sharing models that are based on blockchain, we find that almost all of them have the following problems: 1) it is difficult to protect the privacy and integrity of users’ data, along with users’ data ownership; 2) the storage burden of blockchain is h...Show More

DS2PM: A Data-Sharing Privacy Protection Model Based on Blockchain and Federated Learning

Yanru Chen;Jingpeng Li;Fan Wang;Kaifeng Yue;Yang Li;Bin Xing;Lei Zhang;Liangyin Chen

IEEE Internet of Things Journal

Year: 2023 | Volume: 10, Issue: 14 | Journal Article |

Cost-effective Elderly Fall Detection with Symmetry Transformer Networks

Bing Li;Wei Cui;Yanru Chen;Joey Tianyi Zhou;Zhenghua Chen;Yuli Li;Wu Min

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)

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Elderly fall detection aims at automatically detecting fall actions, a major public health problem for the elderly. Existing fall detection methods are cost-ineffective - a satisfactory performance is commonly traded by high costs in device access/deployment and positive record acquirement. In this paper, we set out to devise a WiFi-based elderly fall detection approach in a cost-effective manner ...Show More

Cost-effective Elderly Fall Detection with Symmetry Transformer Networks

Bing Li;Wei Cui;Yanru Chen;Joey Tianyi Zhou;Zhenghua Chen;Yuli Li;Wu Min

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 |

A Low-Calculation Contactless Continuous Authentication Based on Postural Transition

Shijia Liu;Yanru Chen;Hao Wang;Hongbin Liang;Liangyin Chen

IEEE Transactions on Information Forensics and Security

Year: 2022 | Volume: 17 | Journal Article |

Cited by: Papers (3)

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Currently, available contactless continuous authentication (CA) techniques depend on physiological biometrics to identify individuals at long intervals through complex feature extraction, resulting in poor accuracy, high computation costs, and security vacuums during lengthy intervals. To address these issues, we propose WiPT, a WiFi-based contactless CA system that utilizes contextual features an...Show More

A Low-Calculation Contactless Continuous Authentication Based on Postural Transition

Shijia Liu;Yanru Chen;Hao Wang;Hongbin Liang;Liangyin Chen

IEEE Transactions on Information Forensics and Security

Year: 2022 | Volume: 17 | Journal Article |

DIM-DS: Dynamic Incentive Model for Data Sharing in Federated Learning Based on Smart Contracts and Evolutionary Game Theory

Yanru Chen;Yuanyuan Zhang;Shengwei Wang;Fan Wang;Yang Li;Yuming Jiang;Liangyin Chen;Bing Guo

IEEE Internet of Things Journal

Year: 2022 | Volume: 9, Issue: 23 | Journal Article |

Cited by: Papers (21)

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With the development of big data, data sharing has become a hot topic. According to the previous research on data sharing, there is a problem with regard to how to design an effective incentive mechanism to make users willing to share data. First, we integrate the incentives based on reputation and payment and introduce “credibility coins” as a cryptocurrency for data-sharing transactions, to enco...Show More

DIM-DS: Dynamic Incentive Model for Data Sharing in Federated Learning Based on Smart Contracts and Evolutionary Game Theory

Yanru Chen;Yuanyuan Zhang;Shengwei Wang;Fan Wang;Yang Li;Yuming Jiang;Liangyin Chen;Bing Guo

IEEE Internet of Things Journal

Year: 2022 | Volume: 9, Issue: 23 | Journal Article |

Anonymous Authentication and Application Stealth Scheme for Mobile Network Based on SPA

Rui Wang;Haiwei Li;Yanru Chen;Zheng Xue;Yan Hao;Yanfei Li

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)

Year: 2022 | Conference Paper |

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According to the idea of zero trust, this paper proposed an anonymous identity authentication scheme based on hash functions and pseudo-random number generators, which effectively increased the anonymity and confidentiality when users use the mobile networks, and ensure the security of the server. This scheme first used single-packet authentication technology to realize the application stealth. Se...Show More

Anonymous Authentication and Application Stealth Scheme for Mobile Network Based on SPA

Rui Wang;Haiwei Li;Yanru Chen;Zheng Xue;Yan Hao;Yanfei Li

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)

Year: 2022 | Conference Paper |

Lyapunov-Based Partial Computation Offloading for Multiple Mobile Devices Enabled by Harvested Energy in MEC

Min Guo;Wei Wang;Xing Huang;Yanru Chen;Lei Zhang;Liangyin Chen

IEEE Internet of Things Journal

Year: 2022 | Volume: 9, Issue: 11 | Journal Article |

Cited by: Papers (48)

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Mobile-edge computing (MEC) has been garnering considerable level of interests by processing computation tasks nearby mobile devices (MDs). With limited computation and communication resources and strict task deadline, balancing the energy consumption and time delay of computational tasks will be highly focused. MDs deployed energy harvesting (EH) modules can always provide service to continuous t...Show More

Lyapunov-Based Partial Computation Offloading for Multiple Mobile Devices Enabled by Harvested Energy in MEC

Min Guo;Wei Wang;Xing Huang;Yanru Chen;Lei Zhang;Liangyin Chen

IEEE Internet of Things Journal

Year: 2022 | Volume: 9, Issue: 11 | Journal Article |

A Survey of Decentralizing Applications via Blockchain: The 5G and Beyond Perspective

Kaifeng Yue;Yuanyuan Zhang;Yanru Chen;Yang Li;Lian Zhao;Chunming Rong;Liangyin Chen

IEEE Communications Surveys & Tutorials

Year: 2021 | Volume: 23, Issue: 4 | Journal Article |

Cited by: Papers (82)

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Trusted third parties (TTPs) are frequently used for serving as an authority to issue and verify transactions in applications. Although the TTP-based paradigm provides customers with convenience, it causes a whole set of inevitable problems such as security threats, privacy vulnerabilities, and censorship. The TTP-based paradigm is not suitable for all modern networks, e.g., 5G and beyond networks...Show More

A Survey of Decentralizing Applications via Blockchain: The 5G and Beyond Perspective

Kaifeng Yue;Yuanyuan Zhang;Yanru Chen;Yang Li;Lian Zhao;Chunming Rong;Liangyin Chen

IEEE Communications Surveys & Tutorials

Year: 2021 | Volume: 23, Issue: 4 | Journal Article |

Increasing the Data Rate for Reflected Optical Camera Communication Using Uniform LED Light

Zequn Chen;Runji Lin;Haihan Duan;Yanru Chen;Yanbing Yang;Rengmao Wu;Liangyin Chen

IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

Year: 2020 | Conference Paper |

Cited by: Papers (1)

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Optical Camera Communication (OCC) systems relying on commercial-off-the-shelf (COTS) devices have attracted substantial attention recently, thanks to the pervasive deployment of indoor LED lighting infrastructure and the popularity of smartphones. However, the achievable throughput by such practical systems is still very low due to its availability for only low order modulation schemes and transm...Show More

Increasing the Data Rate for Reflected Optical Camera Communication Using Uniform LED Light

Zequn Chen;Runji Lin;Haihan Duan;Yanru Chen;Yanbing Yang;Rengmao Wu;Liangyin Chen

IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

Year: 2020 | Conference Paper |

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