Article
Engineering, Electrical & Electronic
Safial Islam Ayon, Md. Milon Islam, Md. Rahat Hossain
Summary: This study compared several computational intelligence techniques for predicting coronary artery heart disease and found that the deep neural network achieved the highest accuracy of 98.15% with sensitivity and precision of 98.67% and 98.01% respectively. This outperformed previous studies in heart disease prediction.
IETE JOURNAL OF RESEARCH
(2022)
Article
Computer Science, Information Systems
Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau, Kothapalli Venkata Srinivas
Summary: This paper investigates the user-centric cell-free massive MIMO network architecture and explores its key challenges and solutions. This architecture provides macro diversity, power efficiency, interference management, and robust connectivity. The user-centric approach eliminates cell edges, ensuring uniform coverage and performance for users.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2022)
Article
Computer Science, Hardware & Architecture
Jiaming Pei, Kaiyang Zhong, Mian Ahmad Jan, Jinhai Li
Summary: In this study, a personalized federated anomaly detection framework for network traffic anomaly detection was proposed, and a new network traffic anomaly detection method based on the self-coding of long-and short-term memory networks was introduced. The proposed method was validated through testing on real network traffic.
Article
Computer Science, Information Systems
Kai Zhang, Jiao Tian, Hongwang Xiao, Ying Zhao, Wenyu Zhao, Jinjun Chen
Summary: Blockchain has attracted attention from the IoT research community due to its decentralization and consistency. However, the accessibility of all nodes to the chain data raises privacy concerns. To address this issue, we propose a novel LDP mechanism that splits and perturbs input numerical data using digital bits, without requiring a fixed input range and large data volume. Our adaptive privacy budget allocation model significantly reduces the deviation of the perturbation function and provides high data utility while maintaining privacy.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Zhengru Fang, Jingjing Wang, Yong Ren, Zhu Han, H. Vincent Poor, Lajos Hanzo
Summary: This paper discusses the EH-aided NGMA systems in B5G networks with MTCD devices and proposes sleep-scheduling policies to reduce energy consumption. By deriving closed-form expressions and proposing algorithms, the authors demonstrate that the proposed algorithms can reduce peak AoI at low power consumption across different multiple access protocols considered.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Valerian Rey, Pedro Miguel Sanchez Sanchez, Alberto Huertas Celdran, Gerome Bovet
Summary: With the increasing number of IoT devices and the growing importance of data privacy and security, researching the application and security issues of federated learning in IoT malware detection becomes crucial. This study explores the use of federated learning to detect malware while preserving data privacy and finds that it has the capability to detect malware, but further efforts are needed to enhance its robustness.
Proceedings Paper
Engineering, Electrical & Electronic
Gregory T. Jasion, Hesham Sakr, John R. Hayes, Seyed Reza Sandoghchi, Lucy Hooper, Eric Numkam Fokoua, Arsalan Saljoghei, Hans Christian Mulvad, Marcelo Alonso, Austin Taranta, Thomas D. Bradley, Ian A. Davidson, Yong Chen, David J. Richardson, Francesco Poletti
Summary: This study presents the first double-nested antiresonant hollow core fiber, which matches the loss of commercial solid core fibers in the C-band and fundamentally improves it in the O-band.
2022 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC)
(2022)
Article
Engineering, Electrical & Electronic
Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui
Summary: This paper investigates the problem of resource allocation for a wireless communication network with distributed reconfigurable intelligent surfaces (RISs). The goal is to maximize the energy efficiency by dynamically controlling the on-off status of each RIS and optimizing the reflection coefficients matrix of the RISs. Two iterative algorithms are proposed for the single-user case and multi-user case to solve the joint optimization problem of transmit beamforming and RIS control.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Sun Mao, Jinsong Wu, Lei Liu, Dapeng Lan, Amir Taherkordi
Summary: This article presents a wireless powered mobile-edge computing system, consisting of a hybrid access point and multiple cooperative fogs, to improve computation performance by sharing communication and computation resources. By utilizing a harvest-and-offload protocol based on the classic time-division-multiple-access protocol, the system minimizes energy consumption through joint consideration of energy beamforming, time-slot assignment, computation-task allocation, and optimization of CPU frequencies. The proposed scheme reduces energy consumption considerably compared to existing methods and demonstrates the positive impact of dynamic CPU frequency on energy saving.
IEEE SYSTEMS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Zhenpo Wang, Xiaolin Ding, Lei Zhang
Summary: A full X-by-wire chassis coordinated control scheme is proposed in this paper by utilizing Direct Yaw-moment Control, Active Front Steering, Anti-Slip Regulation, and Active Roll Control. A vehicle state prediction module is established to generate reference vehicle states and a decentralized event-triggered discrete sliding mode control scheme is developed to track these references by coordinating the subsystems. The hardware-in-the-loop tests show that the proposed scheme can improve vehicle stability, handling performance, comfort, and rollover prevention.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Zubair Md Fadlullah, Nei Kato
Summary: This paper proposes a distributed heterogeneous computing platform that optimizes network traffic control in 6G networks by utilizing the capabilities of unmanned aerial vehicles and terrestrial base stations. The algorithm protects user privacy and improves quality of experience.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
(2022)
Article
Computer Science, Information Systems
Thippa Reddy Gadekallu, Quoc-Viet Pham, Dinh C. Nguyen, Praveen Kumar Reddy Maddikunta, N. Deepa, B. Prabadevi, Pubudu N. Pathirana, Jun Zhao, Won-Joo Hwang
Summary: This article reviews the latest developments in BEoT technology and explores its opportunities in various application domains. The survey starts with an introduction to blockchain and EoT, followed by discussions on the application of BEoT in industries such as smart transportation, smart city, smart healthcare, smart home, and smart grid. It also analyzes the security challenges and key services in the BEoT paradigm.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Usman Mahmood Malik, Muhammad Awais Javed, Sherali Zeadally, Saif ul Islam
Summary: This article highlights the importance of fog computing in providing storage and computational services in future 6G networks. It discusses the need for energy-efficient techniques in IoT applications and categorizes and describes recent work on energy-efficient fog computing solutions. Future opportunities and challenges in designing energy-efficient techniques for fog computing in the future 6G massive IoT network are also discussed.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Zheng-Ming Jiang, Mohamed Rihan, Peichang Zhang, Lei Huang, Qijun Deng, Jihong Zhang, Ehab Mahmoud Mohamed
Summary: The article introduces the use of an intelligent reflecting surface (IRS) to improve the performance of dual-function radar and communication (DRC) system. By optimizing the passive phase-shift matrix of the IRS and the precoding matrix of the radar-aided base station, the signal-to-noise ratio (SNR) at the radar receiver can be maximized to address the issue of radar performance degradation in crowded areas.
IEEE SYSTEMS JOURNAL
(2022)
Article
Computer Science, Information Systems
Xiangming Zhu, Chunxiao Jiang
Summary: This article presents a comprehensive survey of the state-of-the-art integrated satellite-terrestrial networks towards 6G, including classification and summary of the integration architecture, discussion of typical applications, identification of challenges, and exploration of promising future techniques. The importance of a detailed survey of potential integration architectures for flexible network design and construction in future 6G networks is emphasized.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Qiong Wu, Xu Chen, Zhi Zhou, Junshan Zhang
Summary: In-home health monitoring is important for the ageing population, but existing approaches lack attention to user data privacy. This paper proposes FedHome, a cloud-edge based federated learning framework that protects data privacy by keeping user data locally. The framework uses a generative convolutional autoencoder (GCAE) to handle imbalanced and non-IID distribution in user's monitoring data, achieving accurate and personalized health monitoring.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Engineering, Electrical & Electronic
Zhendong Li, Wen Chen, Qingqing Wu, Kunlun Wang, Jun Li
Summary: This paper proposes a novel network framework of intelligent reflecting surface-assisted non-orthogonal multiple access networks, which can reduce the base station transmit power by optimizing the parameters of the intelligent reflecting surface phase shift, power splitting, and base station transmit beamforming vector. The experimental results validate the effectiveness of the proposed optimization algorithm, and the IRS-assisted network can significantly reduce the base station transmit power compared to the non-IRS-assisted network.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Tim M. Booij, Irina Chiscop, Erik Meeuwissen, Nour Moustafa, Frank T. H. den Hartog
Summary: This article introduces a novel IoT data set, ToN_IoT, and provides its description, statistical analysis, and machine learning evaluation. Comparisons to other data sets show the importance of heterogeneity and the impact of differences on detection performance. It is found that including different data collection methods and diverse monitored features are crucial for the usefulness of IoT network intrusion data sets. Practical application requires standardization of feature descriptions and cyberattack classes, requiring a joint effort from the research community.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Zhengru Fang, Jingjing Wang, Jun Du, Xiangwang Hou, Yong Ren, Zhu Han
Summary: In this article, a heterogeneous AUV-aided information collection system is proposed to maximize the energy efficiency of IoUT nodes by optimizing AUV trajectory, resource allocation, and the Age of Information. The trajectory of AUVs with low time complexity is obtained using particle swarm optimization, and a two-stage joint optimization algorithm based on Lyapunov optimization is used to strike a balance between energy efficiency and system queue backlog.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Hossein Pirayesh, Huacheng Zeng
Summary: This article surveys existing jamming attacks and anti-jamming strategies in various wireless networks, aiming to provide a comprehensive understanding of the current landscape and stimulate further research efforts to secure wireless networks against jamming attacks.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2022)
