Article
Computer Science, Information Systems
Hojung Lee, Hyowoon Seo, Wan Choi
Summary: This article addresses the importance of building effective and reliable distributed consensus mechanisms over wireless networks, given the paradigm shift in Internet of Things networks. Two wireless consensus mechanisms, namely gossip-broadcasting-based RC (GB-RC) and cooperative-broadcast-based electoral-college consensus (CB-EC), are proposed and analyzed mathematically in terms of consensus latency and resiliency against faulty nodes. The GB-RC outperforms the conventional RC, while the CB-EC reduces consensus latency at the cost of stochastic resiliency.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Abdulhamid Adebayo, Danda B. Rawat
Summary: This article proposes a 2-level hierarchical spectrum allocation framework for multiple service-based virtual networks. The framework leverages software defined networking to dynamically configure network parameters based on the operating environment. It also introduces a trust-based security mechanism for early detection and prevention of security attacks.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2022)
Article
Computer Science, Information Systems
Chuntao Ding, Zhichao Lu, Felix Juefei-Xu, Vishnu Naresh Boddeti, Yidong Li, Jiannong Cao
Summary: This paper proposes a cloud-assisted CNN training framework with low model parameter transmission and strong model robustness. By introducing a few learnable filters and nonlearnable filters, the framework reduces parameter transmission and improves model robustness.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Information Systems
Bryan Teague, Zhenyu Liu, Florian Meyer, Andrea Conti, Moe Z. Win
Summary: This paper introduces Peregrine, a system that combines real-time distributed NLN algorithms with ultra-wideband (UWB) sensing and communication. Peregrine is robust, scalable, and capable of sub-meter accuracy in challenging wireless environments.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Engineering, Civil
S. M. Osman Gani, Yaser P. Fallah, Hariharan Krishnan
Summary: This article analyzes the scheduling protocol for basic safety messages in vehicle-to-vehicle communication and presents the scalability results obtained from a simulation platform. The results demonstrate the protocol's efficacy in addressing scalability issues and controlling channel load. The scheduling protocol allows transmission of various types of messages, enhancing situational awareness in cooperative vehicle-to-vehicle communication.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Information Systems
Suhail M. M. Shah, Liqun Su, Vincent K. N. Lau
Summary: The performance of federated learning models in wireless networks can be affected by transmission channel properties. This article proposes a two-pronged approach to address the limitations of current wireless machine learning algorithms. A stochastic approximation scheme is incorporated to mitigate the effect of channel noise, while an adaptive transmission policy is developed to combat channel fading and optimize power consumption. The proposed scheme demonstrates superior performance compared to state-of-the-art works on standard machine learning tasks.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Hardware & Architecture
Ting Cai, Wuhui Chen, Kostas L. Psannis, Sotirios K. Goudos, Yang Yu, Zibin Zheng, Shaohua Wan
Summary: This study proposes a real-time and reliable sharing framework with fine-grained transaction support based on blockchain technology, using a two-layer scaling blockchain design. In the on-chain layer, sharing-oriented sharding is employed for secure and efficient processing of macro-transactions. In the off-chain layer, cross-zone off-chain channels are set up to enable real-time sharing transactions with high-frequency micro-trading scenarios.
IEEE WIRELESS COMMUNICATIONS
(2022)
Article
Engineering, Mechanical
Achilles Bergne, Guido Baardink, Evripides G. Loukaides, Anton Souslov
Summary: This study explores the topological structures of single-material 3D prints by translating a ball-and-spring model into a physical prototype. The findings show that the surfaces of the printed solid are consistently softer than the bulk, but the softest side can vary contrary to the predictions. Finite-element simulations reveal the influence of printing geometry and deformation amplitude on surface softness.
EXTREME MECHANICS LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Anseok Lee, Yongjin Kwon, Hanjun Park, Heesoo Lee
Summary: This research introduces a deep learning-based scalable and accurate wireless channel estimator, which is more robust in various environments compared to baseline DL estimators.
Article
Optics
Mai Helmy, El-Sayed M. El-Rabaie, Ibrahim Eldokany, Fathi E. Abd El-Samie
Summary: A novel hybrid encryption framework based on Rubik's cube technique is introduced in this paper to protect images, videos, and data against attacks. The simulation results demonstrate that the proposed framework provides high security and robustness.
Article
Biochemical Research Methods
Dominik Drees, Aaron Scherzinger, Rene Haegerling, Friedemann Kiefer, Xiaoyi Jiang
Summary: This study presents a scalable iterative pipeline for extracting an annotated abstract graph representation from the foreground segmentation of vessel networks of arbitrary topology, demonstrating improved robustness in handling surface noise, vessel shape deviation, and anisotropic resolution on volumes of roughly 1 TB. The implementation of this pipeline is publicly available in version 5.1 of the volume rendering and processing engine Voreen.
BMC BIOINFORMATICS
(2021)
Article
Engineering, Electrical & Electronic
Yifei Shen, Yuanming Shi, Jun Zhang, Khaled B. Letaief
Summary: This paper introduces how graph neural networks can be applied to solve large-scale radio resource management problems, supported by effective neural network architecture design and theoretical analysis. The study shows that message passing graph neural networks (MPGNNs) satisfy permutation equivariance property, generalize to large-scale problems, and have high computational efficiency.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Till Kolster, Stefan Niessen, Mathias Duckheim
Summary: Managing flexibility across transmission and distribution system boundaries is crucial for efficient system operation. A fast and robust optimization approach has been developed to calculate the flexibility potentials of individual assets and aggregated flexibility potentials across the grid interconnections. The proposed method guarantees a safe state for the flexibility-providing grid while maximizing flexibility.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Computer Science, Information Systems
Voravit Tanyingyong, Robert Olsson, Markus Hidell, Peter Sjodin
Summary: The article introduces the concept of dynamic sinks to address the issues of insufficient number of sink nodes and high energy consumption in sensor networks. It identifies decision mechanisms for activating/deactivating dynamic sinks and explores three decision schemes, ultimately implementing the dynamic sink protocol in the Contiki environment.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Environmental
Yoon-Ho Hwang, Taewoong Um, Gwang-Noh Ahn, Dong-Pyo Kim, Hyomin Lee
Summary: Emulsions are ideal templates for preparing functional microparticles, but mass production of oil-in-water emulsions has been a practical hurdle. In this study, a novel 3D-printed milli-fluidic device (3D-PMD) was developed for robust and scalable production of water-in-oil and oil-in-water emulsions. The device integrated 40 drop-makers, a 3D void geometry, and a flow distributor using additive manufacturing. Experimental results and simulations confirmed the design's validity and the device's capability to produce controllable microgels and microparticles. The simple and low-cost 3D-PMD method offers a unique route for producing emulsions in a robust and scalable manner, with a wide range of applications.
CHEMICAL ENGINEERING JOURNAL
(2022)
