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Service-Oriented Resource Allocation and Task Scheduling for Wi-Fi and Bluetooth Coexistence in Smart Home IoT systems

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ACM Transactions on Internet of Things 2025年第2期6卷 1-24页

作者： Zhao, Di Niu, Tianxu Song, Bin Du, Xiaojiang Xidian University State Key Laboratory of Integrated Services Network Xi'an China Xidian University Hangzhou Institute of Technology Hangzhou China Department of Electrical and Computer Engineering Stevens Institute of Technology Hoboken United States

In IoT-enabled smart home scenarios, heterogeneous communication devices such as Bluetooth (BT) and Wi-Fi are widely used in applications such as home automation, remote monitoring, and intelligent device interconnection. However, in such a multi-device coexistence environment, efficiently allocating limited time-frequency resources to mitigate communication interference and enhance system performance has become a critical challenge. To address these issues, this article proposes a comprehensive solution that integrates master selection, resource allocation, and task scheduling to optimize resource utilization and service quality in smart home IoT systems. For device management, we propose a hierarchical entropy weight method (HEWM), considering factors such as device parameters, sensing capabilities, communication performance, and device interoperability. This method ensures efficient and stable selection of the primary device, optimizing network topology and communication efficiency. For resource allocation, we introduce a proximal policy optimization (PPO) algorithm that dynamically adjusts time-frequency resource allocation based on the varying device usage, network load, and communication condition. This adaptive strategy reduces interference between devices and improves system throughput. For task scheduling, we develop a task urgency-based queueing (TUQ) mechanism that prioritizes tasks based on urgency. A task preemption mechanism ensures that high-urgency tasks are processed with minimal delay, enhancing scheduling efficiency and service responsiveness. Simulation results show that the proposed approach significantly outperforms traditional methods in smart home IoT scenarios, achieving higher primary device scores, a 3%-22% improvement in system throughput, and a 5%-36% reduction in task delay. © 2025 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Wi-Fi

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Underwater Optical Wireless Communications using Ince Gaussian Beams

Underwater Optical Wireless Communications using Ince Gaussi...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Robertson, Evan Pires, Danilo G. Free, Justin Litchinitser, Natalia Miller, J. Keith Johnson, Eric G. Micro-Photonics Laboratory The Holcombe Department of Electrical and Computer Engineering Clemson University ClemsonSC29634 United States Department of Electrical and Computer Engineering Duke University DurhamNC27708 United States

ISBN: (纸本)9781957171258

Generation of Ince Gaussian beams can be performed through the nonlinear process. Controlling the phase matching condition of the nonlinear process allows the mode spectrum of the decomposition to be carefully controlled. This beam can be used for constant envelope communication through underwater turbid environments. © Optica Publishing Group 2023.

关键词： Phase matching

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Path-Guided Particle-based Sampling 41

Path-Guided Particle-based Sampling

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41st International Conference on Machine Learning, ICML 2024

作者： Fan, Mingzhou Zhou, Ruida Tian, Chao Qian, Xiaoning Department of Electrical & Computer Engineering Texas A&M University College StationTX United States Department of Electrical and Computer Engineering University of California Los AngelesCA United States Department of Computer Science and Engineering Texas A&M University College StationTX United States Brookhaven National Laboratory UptonNY United States

Particle-based Bayesian inference methods by sampling from a partition-free target (posterior) distribution, e.g., Stein variational gradient descent (SVGD), have attracted significant attention. We propose a path-guided particle-based sampling (PGPS) method based on a novel Log-weighted Shrinkage (LwS) density path linking an initial distribution to the target distribution. We propose to utilize a Neural network to learn a vector field motivated by the Fokker-Planck equation of the designed density path. Particles, initiated from the initial distribution, evolve according to the ordinary differential equation defined by the vector field. The distribution of these particles is guided along a density path from the initial distribution to the target distribution. The proposed LwS density path allows for an efficient search of modes of the target distribution while canonical methods fail. We theoretically analyze the Wasserstein distance of the distribution of the PGPS-generated samples and the target distribution due to approximation and discretization errors. Practically, the proposed PGPS-LwS method demonstrates higher Bayesian inference accuracy and better calibration ability in experiments conducted on both synthetic and real-world Bayesian learning tasks, compared to baselines, such as SVGD and Langevin dynamics, etc. Copyright 2024 by the author(s)

关键词： Fokker Planck equation

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A Control Method of Multiport Cophase Railway Power Conditioner for Power Quality Regulation and Renewable Energy Integration

A Control Method of Multiport Cophase Railway Power Conditio...

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2024 China HVDC and Power Electronics Annual Meeting of Chinese Society of electrical engineering, DCPE 2024

作者： Li, Bingxue Lei, Ming Fan, Fangtao School of Electrical and Information Engineering Tianjin University Tianjin China State Key Laboratory of Internet of Things for Smart City Department of Electrical and Computer Engineering University of Macau China

ISBN: (纸本)9781837242689

This paper studies the control method of multiport railway power conditioner (RPC) for power quality regulation and renewable energy integration in cophase railway power system. The circuit topology, operating principle and control strategy of multiport RPC are described in detail. To solve the unbalanced active power distribution and negative sequence current (NSC) caused by the multi-active-bridge converter operating in open-loop resonant mode, a closed-loop NSC compensating method is proposed. The effectiveness of the proposed control method is verified by the simulation results. © The Institution of engineering & Technology 2024.

关键词： Cophase railway power system railway power conditioner renewable energy integration

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Automated Warehouse 5G Infrastructure Modeling Using Variational Autoencoders

Automated Warehouse 5G Infrastructure Modeling Using Variati...

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2024 International Symposium on Networks, computers and Communications, ISNCC 2024

作者： Gulia, Rahul Ganguly, Amlan Kwasinski, Andres Kuhl, Michael E. Rashedi, Ehsan Hochgraf, Clark Rochester Institute of Technology Department of Computer Engineering RochesterNY United States Rochester Institute of Technology Department of Industrial and Systems Engineering RochesterNY United States Rochester Institute of Technology Department of Electrical and Computer Engineering Technology RochesterNY United States

ISBN: (纸本)9798350364910

The next decade is poised for a transformative shift in wireless communication technologies, driven by the increasing demand for data-intensive applications. Innovations in signal processing, network architecture estimation and design, and spectrum utilization will be critical in realizing the potential of 5G and beyond. These advancements will enable the seamless integration of emerging technologies and empower the digital transformation of industries and society. In this paper, we introduce a Variational Autoencoder (VAE) based model for indoor radio propagation modeling within an automated Industry4.0 warehouse or factory floor in the 5G wireless bands. We detail the creation of training data tensors, the architecture of our proposed VAE model, and its training using tensors that capture the impact of various interacting objects within a 5G-enabled smart warehouse infrastructure. The model is trained on multiple warehouse configurations to predict the signal-to-interference-plus-noise ratio (SINR) for both the validation dataset and unknown warehouse configurations. We present reconstruction error heatmaps to demonstrate the accuracy of our model and analyze its performance in different complex warehouse environments. © 2024 IEEE.

关键词： Signal to noise ratio

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Overvoltages and Critical Backflashover Current of a 150 kV Overhead Line: Influence of Lightning Current Waveform and Tower Grounding System Modeling 24

Overvoltages and Critical Backflashover Current of a 150 kV ...

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24th EEEIC International Conference on Environment and electrical engineering and 8th I and CPS Industrial and Commercial Power systems Europe, EEEIC/I and CPS Europe 2024

作者： Patsalis, Diamantis G. Datsios, Zacharias G. Stracqualursi, Erika Araneo, Rodolfo Mikropoulos, Pantelis N. Tsovilis, Thomas E. School of Electrical & Computer Engineering Aristotle University of Thessaloniki High Voltage Laboratory Thessaloniki Greece University of Rome 'Sapienza' Department of Astronautical Electrical and Energy Engineering Rome Italy

ISBN: (纸本)9798350355185

This study investigates lightning current waveform effects on the fast-front overvoltages and critical currents that cause backflashover of the insulation of a 150 kV overhead line by means of ATP-EMTP simulations, considering frequency- and current-dependent effects of tower grounding systems. The CIGRE waveform is used to simulate negative first return-strokes. Several cases are investigated by employing front time, maximum steepness, and time to half value statistical distributions. Various approaches to model concentrated and extended ground electrode configurations are applied. The first one uses a resistor with a fixed resistance. The second approach considers the frequency-dependent (FD) response of the grounding system with fixed electrical properties of soil. The third approach the FD response with soil properties varying with frequency. The fourth is a soil ionization model. A hybrid method is used to yield the tower grounding systems FD responses. This method combines electromagnetic field analysis with circuit theory. The modeling approach of the grounding system influences more the critical backflashover current for shorter and steeper wavefronts, as well as longer wavetails. The impact of lightning current waveform parameters is quantified and discussed for the 150 kV line under investigation. © 2024 IEEE.

关键词： Overhead lines

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Energy Stress of Non-Gapped Line Arresters Due to Lightning Strikes to a 150 kV Line: Concentrated Tower Grounding System Modeling Effects 24

Energy Stress of Non-Gapped Line Arresters Due to Lightning ...

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24th EEEIC International Conference on Environment and electrical engineering and 8th I and CPS Industrial and Commercial Power systems Europe, EEEIC/I and CPS Europe 2024

作者： Datsios, Zacharias G. Patsalis, Diamantis G. Stracqualursi, Erika Araneo, Rodolfo Mikropoulos, Pantelis N. Tsovilis, Thomas E. School of Electrical & Computer Engineering Aristotle University of Thessaloniki High Voltage Laboratory Thessaloniki Greece University of Rome 'Sapienza' Department of Astronautical Electrical and Energy Engineering Rome Italy

ISBN: (纸本)9798350355185

This study investigates the impact of the frequency-and current-dependent behavior of concentrated tower grounding systems on the computed fast-front overvoltages across overhead transmission line (OHTL) insulation, the current flowing through line surge arresters (LSAs), and the energy absorbed by LSAs. This investigation is performed via ATP-EMTP simulations of a 150 kV double-circuit OHTL equipped with non-gapped line arresters (NGLAs). Two NGLA installation configurations are studied: 3 and 6 NGLAs at each tower. Four models are used for the concentrated tower grounding systems: (1) a resistor with a fixed resistance (ground resistance of towers), (2) frequency-dependent (FD) response with fixed and (3) FD soil electrical properties, and (4) the CIGRE model for soil ionization. A hybrid code was used to produce the FD grounding system responses. The tower ground resistance was a parameter and low-frequency soil resistivity was varied accordingly. The energy stressing NGLAs decreases notably when soil ionization is included in simulations. The adoption of the tower ground resistance (fixed value) in simulations yields conservative results in terms of NGLA energy stress. © 2024 IEEE.

关键词： Overhead lines

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An Opto-Electronic HfOx-Based Transparent Memristive Synapse for Neuromorphic Computing System

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IEEE Transactions on Electron Devices 2023年第3期70卷 1351-1358页

作者： Saleem, Aftab Kumar, Dayanand Wu, Facai Keong, Lai Boon Tseng, Tseung-Yuen National Yang Ming Chiao Tung University Department of Electrical Engineering and Computer Science Hsinchu30010 Taiwan Laboratory Electrical and Computer Engineering Thuwal23955 Saudi Arabia Institute of Electronics National Yang Ming Chiao Tung University Hsinchu30010 Taiwan

In this study, a transparent bilayer memristor showing both electrical and optical synapses along with good electrical properties after annealing is presented. In addition to 85% transparency, the device shows excellent electrical characteristics for 1000 cycles of stable LRS/HRS and more than 104 s retention at high temperatures. The annealed device also exhibits stable potentiation and depression cycles for more than 10 000 ac pulses with a low coefficient of nonlinearity. By applying consecutive ac pulses, synaptic properties of paired-pulse facilitation (PPF) and spike time-dependent plasticity (STDP) are calculated. The memristor is illuminated by a 405 nm light source in which different light intensities ranging from 20 to 40 mW/cm2 are used for achieving multilevel cell (MLC) characteristics. Learning/Forgetting curve (PSC) and optical PPF are measured to mimic optical synaptic function. An image recognition comparison of optical and electrical synaptic properties with a normalized loss rate of © 2023 IEEE.

关键词： Tin oxides

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Brain inspired iontronic fluidic memristive and memcapacitive device for self-powered electronics

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Microsystems & Nanoengineering 2025年第1期11卷 465-476页

作者： Muhammad Umair Khan Bilal Hassan Anas Alazzam Shimaa Eissa Baker Mohammad Center for Cyber-Physical Systems-System on Chip Lab Khalifa UniversityAbu Dhabi 127788UAE Department of Computer and Information Engineering Khalifa UniversityAbu Dhabi 127788UAE Department of Electrical Engineering Khalifa UniversityAbu Dhabi 127788UAE Division of Engineering New York UniversityAbu Dhabi 129188UAE Department of Mechanical and Nuclear Engineering Khalifa UniversityAbu Dhabi 127788UAE Department of Chemistry Khalifa UniversityAbu Dhabi 127788UAE

Ionic fluidic devices are gaining interest due to their role in enabling self-powered neuromorphic computing *** this study,we present an approach that integrates an iontronic fluidic memristive(IFM)device with low input impedance and a triboelectric nanogenerator(TENG)based on ferrofluid(FF),which has high input *** incorporating contact separation electromagnetic(EMG)signals with low input impedance into our FF TENG device,we enhance the FF TENG’s performance by increasing energy harvesting,thereby enabling the autonomous powering of IFM devices for self-powered ***,replicating neuronal activities using artificial iontronic fluidic systems is key to advancing neuromorphic *** fluidic devices,composed of soft-matter materials,dynamically adjust their conductance by altering the solution *** developed voltage-controlled memristor and memcapacitor memory in polydimethylsiloxane(PDMS)structures,utilising a fluidic interface of FF and polyacrylic acid partial sodium salt(PAA Na^(+)).The confined ion interactions in this system induce hysteresis in ion transport across various frequencies,resulting in significant ion memory *** IFM successfully replicates diverse electric pulse patterns,making it highly suitable for neuromorphic ***,our system demonstrates synapse-like learning functions,storing and retrieving short-term(STM)and long-term memory(LTM).The fluidic memristor exhibits dynamic synapse-like features,making it a promising candidate for the hardware implementation of neural *** TENG/EMG device adaptability and seamless integration with biological systems enable the development of advanced neuromorphic devices using iontronic fluidic materials,further enhanced by intricate chemical designs for self-powered electronics.

关键词： iontronic memristive ionic fluidic devices memcapacitive ff teng s ff teng fluidic triboelectric nanogenerator teng based

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Fault Detection in Analog/Digtal VLSI Circuits based on Artificial Intelligence 6

Fault Detection in Analog/Digtal VLSI Circuits based on Arti...

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6th IEEE International Conference on Electronics and Communication engineering, ICECE 2023

作者： Gaber, Lamya Hussein, Aziza I. Minia University Computers and Systems Engineering Department Minia Egypt Effat University Electrical and Computer Engineering Department Jeddah Saudi Arabia

ISBN: (纸本)9798350328721

Due to the explosive demand and rapid development of the electronics industry, the integration and complexity of electronic devices have significantly grown. Fault detection has played a vital role in identification of faults in electronic circuits, ensuring normal operation and reliability of systems. Given traditional methods of fault detection are often inaccurate and time-consuming, artificial intelligence techniques are a growing interest for researchers of this field. In this paper, various artificial intelligence-based fault detection techniques in analog and digital VLSI circuits are described. In addition, two distinct models for fault detection of digital circuits based on deep learning are proposed. The primary goal of the first approach is utilization of a stacked sparse autoencoder to avoid the search space explosion problem. The second proposed method utilizes an optimization method for detecting the best model configuration. The proposed models deliver maximum validation accuracy of 97.7% and 95.7% respectively, implemented on digital circuit from ISCAS'85. © 2023 IEEE.

关键词： Fault detection

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