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Federated Learning for Low-Latency IoT Communications 4

Federated Learning for Low-Latency IoT Communications

引用

4th international conference on computing and Information technology, ICCIT 2025

作者： Alenazi, Mohammed M University of Tabuk Computer Engineering Faculty of Computers and Information Technology Saudi Arabia

ISBN: (纸本)9798350353839

Many sectors have been transformed by the growth of the internet of things devices, but it also presents difficulties, particularly in the latency of data exchange. In this research, I suggest a unique distributed federated learning architecture for low-latency internet of things communications. I empower IoT devices to jointly train machine learning models without compromising data privacy by utilizing federated learning techniques. To accomplish low-latency IoT communications, the architecture prioritizes communication efficiency optimization. Use Python to create this design and provide experimental data to show how successful. © 2025 IEEE.

关键词： communication efficiency data communication data privacy distributed federated learning federated learning techniques internet of things iot devices low-latency

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Adaptive Edge computing Framework for the Massive Terminals in the Ubiquitous Power IoT 6

Adaptive Edge Computing Framework for the Massive Terminals ...

引用

6th international conference on Information Technologies and Electrical Engineering, ICITEE 2023

作者： Huang, Chao Wang, Ying Miao, Linghua Guo, Jinhui Beijing FibrLink Communications Co. Ltd. Beijing100071 China The College of Artificial Intelligence Tianjin University of Science and Technology Tianjin300457 China

ISBN: (纸本)9798400708299

With the construction of the power internet of things, the power internet of things (IoT) platform is facing the challenge of massive heterogeneous terminal access and the pressure of explosive data growth. A new adaptive edge computing framework SadaEdge is built on the basis of OpenEdge, KubeEdge, EdgeX, etc. based on the characteristics of access terminal diversity and large data volume. In this framework, in order to ensure the realization of a large number of terminal access and the matching of a large number of protocols and the reasonable allocation of network resources, based on the orthogonal frequency division multiplexing technology, the original channel is divided into multiple sub-channels. Each channel can independently complete the matching task and the transmission of resources, ensuring the stability of the system and ensuring the rapid access of devices. © 2023 ACM.

关键词： internet of things

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Good Shepherds Care For their Cattle: Seamless Pod Migration in Geo-distributed Kubernetes 6

Good Shepherds Care For Their Cattle: Seamless Pod Migration...

引用

6th IEEE international conference on Fog and Edge computing (ICFEC)

作者： Souza, Paulo, Jr. Miorandi, Daniele Pierre, Guillaume Univ Rennes INRIA CNRS IRISA Rennes France U Hopper Trento Italy

ISBN: (纸本)9781665495240

Container technology has become a very popular choice for easing and managing the deployment of cloud applications and services. Container orchestration systems such as Kubernetes can automate to a large extent the deployment, scaling, and operations for containers across clusters of nodes, reducing human errors and saving cost and time. Designed with "traditional" cloud environments in mind (i.e., large datacenters with close-by machines connected by high-speed networks), systems like Kubernetes present some limitations in geo-distributed environments where computational workloads are moved to the edges of the network, close to where data is being generated/consumed. In geo-distributed environments, moving around containers, either to follow moving data sources/sinks or due to unpredictable changes in the network substrate, is a rather common operation. We present MyceDrive, a stateful resource migration solution natively integrated with the Kubernetes orchestrator. We show that geo-distributed Kubernetes pod migration is feasible while remaining fully transparent to the migrated application as well as its clients, while reducing downtimes up to 7x compared to state-of-the-art solutions.

关键词： Stateful Migration Kubernetes Geo-distributed Containers

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Smart distributed Parking System using internet of things 6

Smart Distributed Parking System using Internet of Things

引用

6th international conference on Intelligent computing and Control Systems, ICICCS 2022

作者： Leelipushpam Paulraj, Getzi Jeba Johnraja Jebadurai, Immanuel Khan, Pathan Firoz Sumanth, Neela Reddy, Kothapally Vishal Karunya Institute of Technology and Sciences Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9781665410359

With the growth of cities and population, urban corporation faces potential challenges. One such challenge is regulating parking spaces. this become a tedious job during weekends and festival season. Improper regulation in parking spaces lead to traffic congestion and affects the fuel economy. Various parking solutions using sensor networks and image processing techniques have been proposed in literatures. For developing smart city environment, single parking space management is not sufficient and image processing based parking system can be applied only to large spaces. this paper proposes distributed parking management system. three parking slots have been created. the IR sensors capture the status of the space and communicate to the cloud. the user can also check the real time parking space availability in mobile application. Prototype has been developed and checked under various condition. the proposed solution provides parking space information on real time and improves fuel efficiency. © 2022 IEEE.

关键词： Sensor networks

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Dynamic Queue Management System for Multi-Cashier Supermarkets Using IoT and Real-Time Monitoring 6

Dynamic Queue Management System for Multi-Cashier Supermarke...

引用

6th international conference on Advancements in computing, ICAC 2024

作者： Perera, Wuwani Perera, Hiruni Perera, Hasini Suraweera, Savindee Rathnayake, Samadhi Karunathilaka, Supipi Sri Lanka Institute of Information Technology Faculty of Computing Malabe Sri Lanka

ISBN: (纸本)9798331517878

Optimizing consumer satisfaction and operational efficiency in supermarkets hinges on effective queue management at cashier counters. In multi-cashier systems, customers often choose lines based on the number of people waiting, ignoring the number of items in each cart. this behavior leads to inefficient queue distribution, resulting in longer waits at counters with higher item counts and underutilized counters with fewer items, detracting from the shopping experience. this study proposes a dynamic queue management system leveraging Closed-Circuit Television (CCTV) cameras and internet of things (IoT) devices for real-time monitoring to enhance checkout efficiency. Our approach uses a robust object detection model, developed with PyTorch and Hugging Face Transformers, to accurately determine queue lengths and cart contents from CCTV footage, identifying and categorizing customers and cashiers. IoT sensors count the items in each customer's cart, and this data is combined with CCTV footage to calculate the optimal cashier allocation. this system dynamically assigns customers to cashier counters based on the number of customers and the complexity of their transactions, distributing the checkout load more evenly and efficiently. Processed images, including visual annotations of queue lengths and optimal cashier assignments, are uploaded to Firebase for real-time viewing and access. this technology streamlines the checkout process, enhancing customer satisfaction and optimizing queue management by reducing wait times. the results demonstrate that dynamic queue assignment and real-time item counting significantly improve operational efficiency and customer happiness. this study provides valuable insights and advances in retail queue management, offering a more efficient and customer-focused approach to supermarket operations. © 2024 IEEE.

关键词： Efficiency

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Empowering Healthcare: Edge computing and ML for Early Heart Attack Detection And Prevention 6

Empowering Healthcare: Edge Computing and ML for Early Heart...

引用

6th international conference on Pattern Analysis and Intelligent Systems, PAIS 2024

作者： Kenioua, Laid Lejdel, Brahim Abdelhamid, Nedioui Mohamed Liap Laboratory University of El Oued El Oued39000 Algeria University of Eloued Computer Science Department Algeria

ISBN: (纸本)9798350350265

Heart diseases are a major cause of death among humans, and early detection of such conditions plays a crucial role in saving many lives. Due to technological advances, especially in the field of health care, we have created a health care system aimed at detecting heart diseases, including heart attacks, especially in remote areas. Our approach involves working within an edge computing environment to mitigate network issues and ensure real-time performance. this is achieved by integrating internet of things (IoT) devices and a local server to store and archive information locally, while also establishing a connection with the cloud to process broad sets of data. It ensures that the computational and processing capabilities of devices at the edge are used to carry out training and prediction operations instead of relying on the remote cloud. this allows for improved application responsiveness, privacy preservation, and reduced reliance on an internet connection. Our study focuses on three different machine learning algorithms (K-Nearest Neighbor (KNN), Random Forest algorithm, and Support Vector Machine (SVM)) and compares their results with the output of the model used. the results showed the superiority of the Random Forest algorithm through model accuracy and... faster training performance and prediction time of less than 42 seconds, with the highest correct prediction percentage reaching 90 percent. Our work focuses on evaluating the effectiveness of the proposed models as well as evaluating their processing time. © 2024 IEEE.

关键词： Edge computing

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Application Strategies in the Safety Management of Power Containers under the Power Smart internet of things 6

Application Strategies in the Safety Management of Power Con...

引用

6th international conference on computing Methodologies and Communication, ICCMC 2022

作者： Fan, Baixiang Yin, Bo Chen, Xuezhen Key Laboratory of Energy Big Data Simulation of Tianjin Enterprise State Grid Tianjin Information Telecommunication Company Tianjin300143 China State Grid Tianjin Electric Power Company Tianjin300010 China

ISBN: (纸本)9781665410281

this article comprehensively uses the internet of things technology, uses various internet of things devices to determine the real-time status of the power container to determine the parameter extraction process, and establish a power easy intelligent security system based on the internet of things technology, comprehensively using the internet of things radio frequency identification and sensor technology. Realize the intelligent monitoring, warning and temperature adjustment of the operating environment of the box substation. this system is mainly composed of remote control system, STM32 real-time control system, data collection system and data processing system, and fuzzy adaptive PID control system. the remote control system is mainly for remote monitoring and remote control;the STM32 control system is mainly responsible for coordinating the data collection system and the data processing system, and communicates with the remote control system through the network. © 2022 IEEE.

关键词： Containers

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Optimize a novel Integrated Solutions to analyses Privacy persevering of the internet of things 6

Optimize a novel Integrated Solutions to analyses Privacy pe...

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6th international conference on Information Systems and Computer Networks, ISCON 2023

作者： Mishra, Amit Kumar Tripathi, Neha Bagla, Piyush Pandey, Neeraj Kumar Mittal, Saksham Rana, Deepak Singh Graphic Era Hill University Dept. of Computer Science and Engineering Uttarakhand Dehradun India Graphic Era Deemed to Be University Dept. of Computer Science and Engineering Uttarakhand Dehradun India National Institute of Technology Computer Science and Engineering Dept. Punjab Jalandhar India Dit University School of Computing Uttarakhand Dehradun India Graphic Era Hill University School of Computing Uttarakhand Dehradun India

ISBN: (纸本)9798350346961

internet of things (IoT) develops a global network of interconnected items or things that will play a significant part in Future internet (FI). For the IoT to be extensively accepted by individuals and businesses, there must be confidence in the IoT security architecture. It is crucial to establish how IoT devices may connect and share data with one other and with remote servers in an efficient and safe manner. therefore, we provide solutions for IoT environment security and privacy in this paper. Our study begins with the construction of novel three layered approach with Pseudo-Random Number Generators. that after, we have applied a Key Generation Center (KGC) protocol to enable secure multicast group communication in the IoT. A key setup method that ensures the secrecy, authenticity, and integrity of data shared in the network while taking into account the features of IoT devices is one of the IoT security basics. To evaluate the performance of the proposed system, we examine its computational and communication costs.. © 2023 IEEE.

关键词： internet of things

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Developing Blockchain Framework and System to Preserve the Arabic and Islamic Culture and Heritage Ownership as a Digital Asset using Non-Fungible Tokens 6

Developing Blockchain Framework and System to Preserve the A...

引用

6th international conference on Blockchain computing and Applications, BCCA 2024

作者： Mokhamed, Takua Waraga, Omnia Abu Al Hemairy, Mohamed Talib, Manar Abu Dept. of Computer Science University of Sharjah Sharjah United Arab Emirates University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9798350351538

the Non-Fungible Token (NFT) market has witnessed rapid growth, significantly impacting various sectors, including the arts. NFTs, unique digital assets on public blockchains, have revolutionized how digital art is created, sold, and owned. this technology provides a secure method for verifying ownership and protecting art rights while enabling the generation of royalties. As a result, NFTs have introduced new dynamics into the traditional art market, highlighting their potential for broader applications such as cultural heritage preservation. Our paper proposes a blockchain-based conceptual framework to preserve Arabic and Islamic cultural heritage, initially focusing on the UAE and extending to the Middle East. We developed a prototype using distributed Ledger technology (DLT) on the Bitcoin SV (BSV) blockchain to demonstrate the feasibility of this framework. this solution will securely store, preserve, and verify the ownership of valuable cultural assets as immutable digital records. Physical inheritance items, like family treasures and estates, can be digitized as NFTs and transferred via smart contracts without third-party involvement. Furthermore, these digital assets can be symbolically represented in the Metaverse, offering an immersive platform for showcasing and interacting with cultural heritage. Utilizing Blockchain, our innovative blockchain solution will enhance the authenticity of inherited assets and mitigate risks of trading fake or stolen items through the blockchain's immutable properties. the integrated system will include components for digitizing and preserving heritage assets such as NFTs and creating a marketplace for trading these original assets. © 2024 IEEE.

关键词： distributed ledger

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RADD: A Real-time and Accurate Method for DDoS Detection Based on In-Network computing 59

RADD: A Real-time and Accurate Method for DDoS Detection Bas...

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59th Annual IEEE international conference on Communications (IEEE ICC)

作者： Wang, Wen Zhu, Shuyong Wu, Zhiyuan Lu, Lu Li, Zhiqiang Yang, Hongwei Zhang, Yujun Chinese Acad Sci Inst Comp Technol Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China China Mobile Res Inst Beijing Peoples R China

ISBN: (纸本)9781728190549

distributed Denial-of-Service (DDoS) attacks pose formidable threats to the security and availability of critical internet infrastructure. In-network computing technology brings new opportunities to address DDoS attacks due to its intrinsic data plane programmability and high performance. However, existing DDoS attacks detection schemes based on in-network computing are difficult to strike a balance between true positive rate and false positive rate, especially in low-rate DDoS attacks scenarios. In response to this challenge, we propose RADD, an entropy-based method to detect DDoS attacks in real time based on in-network computing. RADD measures the distribution of network traffic from the perspective of individual IP address to discern subtle fluctuations within network traffic, hence providing early indications of potential DDoS attacks. We implement a prototype of RADD over programmable switches and results show that our proposed method significantly outperforms the state-of-the-art or has equivalent accuracy in low-rate and high-rate DDoS attacks scenarios.

关键词： DDoS detection in-network computing programmable switch P4

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