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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

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Exploring Lightweight Federated Learning for distributed Load Forecasting 14

Exploring Lightweight Federated Learning for Distributed Loa...

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14th ieee international conference on Communications, Control, and computing Technologies for Smart Grids, SmartGridComm 2023

作者： Duttagupta, Abhishek Zhao, Jin Shreejith, Shanker Electronic & Electrical Engineering Trinity College Dublin Ireland

ISBN: (纸本)9781665455541

Federated Learning (FL) is a distributed learning scheme that enables deep learning to be applied to sensitive data streams and applications in a privacy-preserving manner. This paper focuses on the use of FL for analyzing smart energy meter data with the aim to achieve comparable accuracy to state-of-the-art methods for load forecasting while ensuring the privacy of individual meter data. We show that with a lightweight fully connected deep neural network, we are able to achieve forecasting accuracy comparable to existing schemes, both at each meter source and at the aggregator, by utilising the FL framework. The use of lightweight models further reduces the energy and resource consumption caused by complex deep-learning models, making this approach ideally suited for deployment across resource-constrained smart meter systems. With our proposed lightweight model, we are able to achieve an overall average load forecasting RMSE of 0.17, with the model having a negligible energy overhead of 50 mWh when performing training and inference on an Arduino Uno platform. © 2023 ieee.

关键词： Deep neural networks

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A Context-Aware Framework for sensor Placement Using PSO and Voronoi in Dynamic Scenarios 3

A Context-Aware Framework for Sensor Placement Using PSO and...

引用

3rd international conference on Intelligent systems, Advanced computing, and Communication, ISACC 2025

作者： Manna, Prithwish Majumder, Sudipta Singh, N. Hemarjit Bose, Rajesh DUIET Dibrugarh University Dept. of CSE Assam Dibrugarh India DUIET Dibrugarh University Dept. of ECE Assam Dibrugarh India JIS University Dept. of CSE West Bengal India

ISBN: (纸本)9798331523893

When we deploy sensors, we face severe problems to achieve resilience and robust coverage. It happens more in stochastic and dynamic environments. In this paper, we propose a hybrid framework which is a combination of Particle Swarm Optimization (PSO) and Voronoi Diagram method with context aware adaptation to fix the challenges. The proposed framework balances initial distribution of sensors and iterative optimization to enhance coverage, maintain k-coverage (k=3) and adapt to evolving scenarios even under critical situations like sensor failures. Experimental results highlight the performance of the proposed framework across the key scenarios: comparing coverage with or without context aware optimization quantifying the impact of random node failures, tracking cumulative recovery attempts and evaluating final coverage percentage. The results reveal that this hybrid framework maximizes the coverage and provides resilience to sensor failures. It also reallocates resources dynamically to maintain optimal deployment. This framework is suitable for getting more efficiency and minimal iterations of recovery while enhancing the robustness of the network. It also enlightens the adaptability in sensor performance and becomes very popular in modern applications. © 2025 ieee.

关键词： Particle swarm optimization (PSO)

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Reconfigurable PM2.5 sensor Green Deployment Mechanism Based on Blockchain Technology 1st

Reconfigurable PM2.5 Sensor Green Deployment Mechanism Based...

引用

1st international conference on Security and Information Technologies with AI, Internet computing, and Big data Applications (SITAIBA)

作者： Chen, Hsing-Chung Liang, Yao-Hsien Hsu, Pei-Yu Asia Univ Dept Comp Sci & Informat Engn Taichung 413 Taiwan China Med Univ China Med Univ Hosp Dept Med Res Taichung 404 Taiwan

ISBN: (纸本)9783031054914;9783031054907

This paper presents the design of reconfigurable green PM2.5 sensor module deployment scheme based on blockchain technology. The proposed scheme proposes classes with hierarchical layers implemented by name registry smart contract that could be reconfigured for solving the green deployment problem among PM2.5 sensor modules. This proposed scheme design three functions made by smart contracts including Registration smart contract, Hierarchical Class Mapping Based on Name Registry Smart Contract Function, and Reconfigurable Working Grouping Smart Contract Function. The results shown that the modules which are measured the similar data will be distributed into the candidate group instead of the current working group, where the total corresponding energy consumption will be reduced for the BC transaction operations in this blockchain network. Moreover, the relevant data storages will be also avoided to store the duplication data as well as redundant data.

关键词： Reconfigurable green deployment Smart contract Name registry PM2.5 sensor module

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Space Situational Awareness (SSA) and Quantum Neuromorphic computing

Space Situational Awareness (SSA) and Quantum Neuromorphic C...

引用

ieee international conference on Imaging systems and Techniques (IST) / ieee international School on Imaging

作者： Barnes, C. Puran, A. Beninati, A. Douard, N. Nowak, M. Appiah, O. Prashad, C. Kerwick, A. Das, N. Wang, Y. Hussein, A. Giakos, G. K. Manhattan Coll Dept Elect & Comp Engn 3825 Corlear Ave New York NY 10463 USA Northeastern Univ Comp Engn & Comp Sci 360 Huntington Ave Boston MA 02115 USA

ISBN: (纸本)9781665481021

The purpose of this study is to present agile, intelligent, and efficient computer vision architectures, operating on quantum neuromorphic computing, as part of a Space Situational Awareness (SSA) network. Quantum neuromorphic vision paired with polarimetric Dynamic Vision sensors p(DVS) principles, would give rise to the next generation of highly efficient neuromorphic engineering vision systems for SSA, at fast speeds, while operating at reduced bandwidth, low-power, and low-memory. A deep-learning network has been designed with high accuracy to classify different target speeds and shapes, by means of a p(DVS) neuromorphic sensor. The neural network relies on a limited number of events, within a fixed time window, instead of full frame images. In addition, it makes use of two classifiers, which practically take a single input and independently classify both its speed and shape. The outcome of this study indicates that both high computational efficiency and target classification accuracy results.

关键词： Quantum Neuromorphic computing Space Situational Awareness (SSA) Space Object Classification Polarimetric Dynamic Vision sensor p(DVS)s Deep Learning Classification Accuracy

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System Aspects of Direct Localization of Multiple Acoustic Sources Using distributed sensor Networks 11

System Aspects of Direct Localization of Multiple Acoustic S...

引用

11th international conference on Electrical, Electronic and computing Engineering, IcETRAN 2024

作者： Eric, Miljko Vukmirovic, Nenad Djuric, Petar University of Belgrade School of Electrical Engineering Belgrade Serbia University of Belgrade School of Electrical Engineering and Innovation Center of the School of Electrical Engineering Belgrade Serbia Stony Brook University Department of Electrical and Computer Engineering Stony BrookNY United States

ISBN: (纸本)9798350386998

When commonly used two-step localization techniques, such as TOA/TDOA (Time-Of-Arrival, Time-Difference-of-Arrival), DOA (Direction-of-Arrival) or RSSI (Received-Signal-Strength-Indication)/Fingerprint-based, are applied to localization in multiple signal scenarios, there is a so called data association problem. This problem is complex and complicated to solve. Data association problem is referred to grouping of localization parameters for a set of sensors (TOAs, TDOAs, DOAs, RSSI/Fingerprints) into subsets, each corresponding to a single source. With single-step (or direct) localization techniques, this problem does not exist. These techniques are of more recent date, and being numerically more demanding and complex compared to the two-step methods, they are used less frequently than two-step methods. However, they significantly outperform the two-step techniques in terms of localization accuracy and resolution properties. We present a comparative study of direct localization of acoustic signal and radio signal sources using distributed sensor networks. This study examines generic system models, generic signal models, direct localization methods, and theoretical Cramér-Rao bound (CRB) limits of location estimation error. We also include two case studies of applying direct localization of acoustic signal sources in indoor environments. These case studies involve detecting two moving e-Puck educational mobile mini-robots and detecting an acoustic signal source using a functional model of an acoustic camera. We also provide theoretical CRB limits of error estimation for these system models. © 2024 ieee.

关键词： Time difference of arrival

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Markov Stochastic Processes Application Tools to Improve the Characteristics of distributed systems Synchronization Procedures 5

Markov Stochastic Processes Application Tools to Improve the...

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5th international conference on Control systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2023

作者： Azarnova, Tatyana Vasilyevna Polukhin, Pavel Valerievich Kashirina, Irina Leonidovna Voronezh State University Applied Mathematics Informatics and Mechanics Voronezh Russia

ISBN: (纸本)9798350309126

Appling mathematical modeling methods for analyses synchronization processes of distributed data processing systems makes it possible to significantly optimize these processes and guarantee the required level of consistency. To analyze stochastic distributed synchronization procedures, mathematical modeling tools are needed to adequately reflect their stochastic nature and form a probabilistic time characteristics assessment of the shared resource ownership distributed between the parallel processes. The research carried out within the current paper shows that stochastic modeling tools are able to solve a number of complex problems in this area and in particular to adapt synchronization algorithms for use in heterogeneous computing systems with a different set of hardware components and providing an acceptable synchronization time for a large amount of data. The paper essentially analyzes Markov synchronization models with group maintenance and considers tools for bringing these models to the case of arbitrary service time. © 2023 ieee.

关键词： Random processes

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Home Automation with Webserver Deployment with Raspberry Pi Pico 2

Home Automation with Webserver Deployment with Raspberry Pi ...

引用

2nd international conference on Automation, computing and Renewable systems, ICACRS 2023

作者： Shabariram, C.P. Venkateshwaran, M. Abinesh, R. Manoranjith, R. Department of Computer Science and Engineering PSG Institute of Technology and Applied Research Coimbatore India

ISBN: (纸本)9798350340235

Home Automation system with web server deployment is developed using Raspberry Pi Pico and micropython, which turns ON the lights based on the count of persons inside that particular room. The system uses Infrared Red (IR) sensor, which detects the heat radiation in the environment. This heat radiation is not constant as it changes due to the movement of people in the sensing environment. This change is used as a measure to detect the changes in the environment which allows us to perform a particular action for the event. The data is sent to node which sends the data to the webserver running in the Raspberry pi pico. Based on the result, the light is turned ON or OFF. © 2023 ieee.

关键词： Home Automation Infrared sensor Micropython Raspberry Pi Pico Webserver

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Role of Blockchain in Automation of Trending Industrial Technologies 8

Role of Blockchain in Automation of Trending Industrial Tech...

引用

8th international conference on Electronics, Communication and Aerospace Technology, ICECA 2024

作者： Patel, Anand Patel, Miral Dharmsinh Desai University Faculty of Technology and Engineering Department of Information Technology Nadiad India Cvm University G H.Patel College of Engineering and Technology Department of Information Technology Vallabh Vidyanagar Gujarat Anand India

ISBN: (纸本)9798350367904

The distributed ledger aspect of blockchain technology has transformed traditional trade;each record in this ledger is secured by cryptographic technique, making it more protected and tamper-proof, and the technology is currently attracting more and more attention. Despite warnings of blockchain's doom, the technology has made tremendous strides and introduced game-changing innovations to the world of digital currency and transactions. Artificial Intelligence (AI), edge computing, machine learning, robotics, cyber physical systems, Industrial Integration (II), and Service Oriented computing are some of the emerging technologies that support Industry 4.0. The majority of industrial data management systems are centralized and do not provide the capabilities necessary to guarantee trustworthy data provenance, immutability, transparency, auditability, or traceability. A new and potentially gamechanging technology, blockchain promises to decentralize and secure all data and transactions without the interception of trustworthy authority, all while providing trustworthy traceability, transparency, auditability, and immutability. The groundwork for presenting and showing the role of blockchain technology in various scenario is covered in this article. Moreover, we go into key ideas behind industry 4.0 and how this trending technology may be used to its advantage. We investigate many potential applications of blockchain technology to promote the growth of Industry 4.0. © 2024 ieee.

关键词： distributed ledger

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Prototyping distributed Botnet Detection System in Computer Networks 5

Prototyping Distributed Botnet Detection System in Computer ...

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5th international conference on computing and Informatics (ieee ICCI)

作者： Putra, Muhammad Aidiel Rachman Ahmad, Tohari Ijtihadie, Royyana Muslim Hostiadi, Dandy Pramana Inst Teknol Sepuluh Nopember Dept Informat Surabaya Indonesia

ISBN: (纸本)9781665499736;9781665499729

Being dangerous threats and attacks in this cyber era, botnets require proper handling. Nevertheless, some bot detection models that have been proposed are centralized and can only detect at one point of attack, even though there are two known types of botnet activity: single and bot group. In fact, attacks from grouped bots can have a series of attacks with the same pattern at several different attack targets. So, it requires a distributed detection model that can detect bot attacks on some detection sensors and assemble them in the form of correlation analysis. This paper proposes a prototype distributed botnet detection model that can synchronize detection in each detection sensor and analyze a series of bot attack activities. It aims to obtain information on the series of attacks that occur at several attack points and state as a correlated botnet attack scenario. With the existence of a distributed botnet activity detection prototype, it will be able to facilitate the analysis and anticipation process from the system and network security administrators.

关键词： bot detection correlation Intrusion Detection System network infrastructure network security distributed detection

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Robust fault-tolerant consensus for two time-scales agent systems with sensor faults 17

Robust fault-tolerant consensus for two time-scales agent sy...

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ieee 17th international conference on Control and Automation (ICCA)

作者： Chen, Jia-Rui Yang, Wu Liu, Xiao-Kang Guangxi Univ Sch Elect Engn Nanning 530004 Guangxi Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan Hubei 430074 Peoples R China

ISBN: (数字)9781665495721

ISBN: (纸本)9781665495721

This paper studies the fault-tolerant consensus problem of a novel class of multi-agent systems with sensor faults and unknown disturbances, in which each agent is represented by two time-scales system. A decentralized observer is proposed to simultaneously estimate the fault and agent's states. Then, an observer-based distributed protocol is designed to ensure the consensus of the underlying systems. Sufficient conditions for the existence of the proposed observer and consensus protocol are derived in terms of linear matrix inequalities (LMIs). A numerical example demonstrates the effectiveness of the proposed method.

关键词： Fault tolerance Sufficient conditions Actuators Automation Fault tolerant systems Estimation Observers

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