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检索条件"任意字段=Conference on Scalability and Traffic Control in IP Networks"

共 5923 条记录，以下是31-40 订阅

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6G-LoRaGRAN: A Testbed for Researching Lorawan and 5G Integration

6G-LoRaGRAN: A Testbed for Researching Lorawan and 5G Integr...

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IEEE conference on Wireless Communications and Networking

作者： Natalia Chinchilla-Romero Jorge Navarro-Ortiz Felix Delgado-Ferro Juan M. Lopez-Soler Dpt. Signal Theory Telematics and Communications University of Granada Granada Spain Research Centre for Information and Communications Technologies University of Granada Granada Spain

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

The rapid growth of the Internet of Things (IoT) has increased demand for Low Power Wide Area networks (LPWANs) that support massive Machine-Type Communications (mMTC) in Fifth Generation (5G) ecosystems. However, integrating LPWAN technologies like Long Range Wide Area Network (LoRaWAN) with 5G infrastructure presents challenges. This paper introduces 6G-LoRaGRAN, a novel testbed framework designed to facilitate research on LoRaWAN and 5G integration. Developed at the University of Granada, this testbed connects a real LoRaWAN network to 5 G cores across multiple pilot sites as part of the European 6G-SANDBOX project. The testbed supports remote experimentation through an Experiment Manager, enabling researchers to explore diverse configurations, including customizable network slices, traffic patterns, and realtime resource management. With over 100 deployed LoRaWAN devices and automated connectivity monitoring, the platform serves as a powerful tool for experimentation within a realworld LoRaWAN-5G testbed. Two experiments are presented. The first compares empirical results to theoretical collision probabilities, demonstrating the testbed's ability to support research on LoRaWAN performance and scalability. The second uses two LoRaWAN slices to demonstrate inter-slice isolation.

关键词： 6G mobile communication Performance evaluation 5G mobile communication scalability Network slicing LoRaWAN traffic control Internet of Things Resource management Low-power wide area networks

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Improved Grading Recurrent Unit Model for Urban traffic Flow Prediction

Improved Grading Recurrent Unit Model for Urban Traffic Flow...

引用

Advanced Research in Computing (ICARC), International conference on

作者： K.L.Y.S Karandana D.D.A Arthanayake M.W.P Maduranga National Innovation Center National Institute of Business and Management Colombo Sri Lanka Dept. Electrical and Electronic Engineering University of Sri Jayewardenepura Nugegoda Sri Lanka

ISBN: (数字)9798331530983

ISBN: (纸本)9798331530990

Accurate prediction of traffic flow is essential for managing urban transportation, saving time and energy, as well as reducing congestion and promoting sustainability. Traditional models generally do not work effectively in complex urban networks such as multi-lane. To address this problem, this research presents a new method that improves the accuracy of traffic flow predictions and helps in energy conservation. The latest study extends a deep learning method using the GRU model. This study highlights the improved performance of the new models by showing performance evaluations such as RMSE, MAE, R 2 Score, MAPE (MAPE J1-3.18%, J2-2.21%, J3-1.80%, J4-1.43%) to highlight higher accuracy Furthermore, this research explores methods to enhance the computational speed of the GRU model by optimizing floating-point operations (FLOPs) on the CPU, ensuring responsiveness and scalability in real-time systems. It also discusses how the computational efficiency of the GRU model can be improved in predicting more effective traffic flows in urban transport systems.

关键词： Visualization Accuracy Computational modeling Transportation Predictive models traffic control Real-time systems Computational efficiency Junctions Sustainable development

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Distributed Reinforcement Learning Framework for Collaborative Energy Management in Connected Hybrid Electric Vehicle Ecosystems

Distributed Reinforcement Learning Framework for Collaborati...

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Intelligent control, Computing and Communications (IC3), International conference on

作者： P Lokesh Kumar Muthuswamy Jayanthi Jay Singh Manish Gupta Phaneendra babu Bobba Ali Albawi Shubhra Department of CSE-AI&ML MLR Institute of Technology Hyderabad Telangana India Department of Electronics and Communication Engineering New Horizon College of Engineering Bangalore India Dept. of EEE GL Bajaj Institute of Technology and Management Gr. Noida U.P India Lovely Professional University Phagwara India Department of EEE GRIET Bachupally Hyderabad Telangana India Radiology Techniques Department College of Medical Technology The Islamic University Najaf Iraq Department of Electrical Electronics & Communication Engineering Galgotias university Gerater Noida Uttar Pradesh

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527501

The technical parameters of HEV energy management systems increase in interaction with connected and dynamic environments, therefore demanding superior control algorithms. This work proposes an asynchronous RL paradigm for energy management in driving HEV ecosystems. The framework uses distributed RL agents with each agent responsible for local policy optimization for energy control of individual electric vehicle and with sharing information through V2V and V2I mechanisms. A general optimization layer superposes local data to coordinate personal interests with global objectives, for example, the general level of emissions and traffic density. The proposed method is capable of effectively mitigating the periodic decision making issue through using high accuracy RL algorithms for instance the MAPPO alongside low latency communication. OpenPowertrainLib and SUMO are utilized for traffic modelling integrating stochastic traffic characteristics and renewable energy inputs as well as complicated vehicle dynamics. Research findings establish the efficiency in terms of energy savings and emissions compared to single optimized energy management solutions as well as improved traffic flow. The research puts emphasis on distributed RL frameworks in developing intelligent transportation systems that positively impact scalability and sustain ability of connected HEV networks. This study sets the ground for potential future developments in co-energy management and its incorporation into smart cities.

关键词： Renewable energy sources Heuristic algorithms Decision making Vehicular ad hoc networks Stochastic processes Reinforcement learning Hybrid electric vehicles Vehicle dynamics Optimization Intelligent transportation systems

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Achieving Seamless IoT Interoperability Through Data Plane Programmability

Achieving Seamless IoT Interoperability Through Data Plane P...

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Consumer Communications and Networking conference, CCNC IEEE

作者： Alexandre Heideker Dener Silva Carlos Kamienski Angelo Trotta Department of Computer Science and Engineering University of Bologna Italy Federal University of the ABC CMCC Santo André Brazil

ISBN: (数字)9798331508050

ISBN: (纸本)9798331508067

The rapid proliferation and vast diversity of Internet of Things (IoT) devices present significant challenges to achieving seamless interoperability within modern networks. Many legacy IoT systems still rely on outdated protocols, rendering them incompatible with newer devices and creating communication bottlenecks. Additionally, the need for real-time traffic adaptation and modification further complicates the integration of these heterogeneous systems. This paper explores the potential of data plane programmability as a solution to address these challenges, enabling dynamic control over network behavior and improving compatibility between diverse IoT devices. By allowing real-time adjustments to traffic flows and adapting protocols on the fly, programmable data planes offer a flexible and scalable approach to ensuring interoperability across both modern and legacy IoT systems. Experimental results demonstrate the feasibility and effectiveness of this approach, highlighting its potential to enhance IoT network performance and longevity.

关键词： Performance evaluation Protocols scalability Switches Rendering (computer graphics) Real-time systems Hardware Internet of Things Interoperability Payloads

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A 3nm FinFET 2.2Gsearch/s 0.305fJ/b TCAM with Dynamically Gated Search Lines for Data-Center ASICs

A 3nm FinFET 2.2Gsearch/s 0.305fJ/b TCAM with Dynamically Ga...

引用

IEEE International conference on Solid-State Circuits (ISSCC)

作者： Sushil Kumar Gajanan Jedhe Chetan Deshpande Agastya Gouoi Phoebe Su Kim Soon Jway TzeYing Seoh MediaTek San Jose CA MediaTek Hsinchu Taiwan Medialek Singapore Singapore

ISBN: (数字)9798331541019

ISBN: (纸本)9798331541026

Packet classification and forwarding are fundamental tasks for data-center network (DCN) components, such as switches and routers, which are used to efficiently manage and direct network traffic. Packet classification involves examining packet headers to identify and apply specific policies, such as access control or quality of service; while packet forwarding determines the next hop for each packet based on routing tables. Ternary content-addressable memory (TCAM) facilitates these two tasks by performing a parallel in-memory search to compare an incoming packet's header against the rules stored in TCAM. TCAM provides fast parallel-lookup functionality making it an indispensable foundation ip for DCN ASICs. TCAM do have one major cost, the parallel all-entry search is power intensive; this impacts the operational efficiency, reliability, and environmental footprint of network devices. To reduce DCN-TCAM power, a 3nm Fin-FET 2.2Gsearch/s 0.305fJ/b TCAM is designed with (1) a dynamically gated search-line (DGSL) architecture that enables a 37.4% power saving and a 46.6% peak-current reduction; (2) an asymmetric-split architecture (ASA) for additional bit-width dependent power savings.

关键词： Access control Costs Telecommunication traffic Quality of service Logic gates Routing FinFETs Solid state circuits Reliability ip networks

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Adaptive Anomaly Detection and Congestion Avoidance for Large Scale 5G-IIoT: U-Plane Unsupervised Online Learning in RIC

Adaptive Anomaly Detection and Congestion Avoidance for Larg...

引用

Consumer Communications and Networking conference, CCNC IEEE

作者： Yuxuan Shi Qianqian Pan Akihiro Nakao Graduate School of Engineering The University of Tokyo Tokyo Japan

ISBN: (数字)9798331508050

ISBN: (纸本)9798331508067

The large-scale deployment of Internet of Things (IoT) devices and the increasing traffic volume bring congestion-related challenges to IoT systems. These challenges are particularly significant in large-scale Industrial IoT (IIoT) environments, where congestion caused by attacks or malfunctions threatens reliability. However, existing methods suffer from the following issues: 1) control plane (C-Plane) key performance indicators (KPI)-based congestion avoidance methods cannot accurately classify devices based solely on C-Plane features. 2) Existing User Plane (U-Plane) empowered anomaly detection methods are mainly based on supervised learning and rely heavily on labeled datasets. To solve the problems, we propose an anomaly detection and congestion solution system based on U-Plane traffic data and Radio access network intelligent controller (RIC). First, we propose an unsupervised online learning-based anomaly traffic detection and congestion avoidance framework, where U-plane data is utilized to provide accurate classification. Second, we propose an anomaly device isolation mechanism from the main network by steering traffic using a near real-time RIC application (xAPP). Finally, we establish the simulation and hardware experimental platform to evaluate the effectiveness of our proposed system. In the experiment, the proposed method achieves a 94% classification accuracy, while the accuracy of the traditional method is 63%.

关键词： Accuracy scalability Supervised learning Production Real-time systems Reliability Anomaly detection Industrial Internet of Things Radio access networks Overfitting

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A Comprehensive Study on Optimization Algorithms for controller Placement in Software-Defined Networking

A Comprehensive Study on Optimization Algorithms for Control...

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Intelligent Data Communication Technologies and Internet of Things (IDCIoT), International conference on

作者： Maheswari Kolli Prabu. U Meenakshi Karre Geetha. V Department of CSE Velagapudi Ramakrishna Siddhartha Engineering College Vijayawada India Department of Information Technology Puducherry Technological University Puducherry India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527556

In today's context, the use of the Internet has significantly increased, and new technologies keep evolving. Traditional networks are struggling to keep up with the growing demand. The advent of Software Defined Networking (SDN) has become essential in data centers and also large scale area networks, playing a pivotal role in modern network architectures. SDN is characterized by its separation of the logically centralized design, along with the control plane and data planes. In SDN, the controller is a critical component that ensures smooth operations and consistent behavior across network. Determining optimal placement, quantity of controllers is vital for enhancing network performance. Identifying the best locations and the most efficient number of controllers is crucial to achieving seamless and resilient network operations. This study explores various advanced techniques for controller placement, focusing on minimizing latency. It emphasizes the development of optimization strategies that dynamically adapt to network conditions and traffic demands, presenting an approach to improving SDN controller placement.

关键词： Surveys Measurement scalability Focusing Network architecture Market research Real-time systems Reliability Software defined networking Optimization

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scalability and traffic control in ip networks (vol 26, pg 203, 2003)

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COMPUTER COMMUNICATIONS 2003年第12期26卷 1432-1432页

作者： Fahmy, S Park, K Purdue Univ Dept Comp Sci W Lafayette IN 47907 USA

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The Emerging Requirements for a Modern SDDS

The Emerging Requirements for a Modern SDDS

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Integrated Communications, Navigation and Surveillance conference, ICNS

作者： Dave Whitman Sunhillo Corporation New Jersey USA

ISBN: (数字)9798331534738

ISBN: (纸本)9798331534745

The emergence of next generation technologies in Air traffic control (ATC) and the requirement to interface new and existing legacy sensor systems has defined the need for a Surveillance Data Distribution System (SDDS) for the last 20 years. Recent experience in deploying SDDS systems has identified additional requirements over those initially discussed in my ICNS paper from 2009 “The Need and Capability of a Surveillance Data Distribution System”. The landscape has changed in the last two decades with modern surveillance sources, new communication protocols, increasing data speeds, conversion and monitoring requirements. The existing SDDS must evolve to accommodate the latest communication technologies and surveillance sources. The distribution of surveillance data has several requirements in addition to just the transfer of data. In addition, it must understand the different protocols and understand the information that it is transmitting. This allows the extraction of critical information such as altitude, range and aircraft identification to allow value added processing and conversion and filtering of the data. Surveillance data is considered mission critical data essential for the tracking and operation of ATC systems. It has strict real-time requirements regarding accuracy and latency and must be highly available (redundant). It also must be capable of delivering surveillance data to a variety of diverse users over a wide geographic area. In today's world, surveillance data is sent over ip and TDM data lines to a wide variety of users ranging from the ATC, Military, Border Security, and commercial users. This can require the need to convert or modify the data to a format that the receiving user can understand. Higher level functions such as multi-sensor fusers are required to remove duplicate messages from different radar sources as well as the need for virtual radars to convert from latitude/longitude (lat/long) sources such as ADS-B to sweep radars. A new re

关键词： Protocols Surveillance Radar Receivers traffic control Time division multiplexing Sensor systems Real-time systems Security ip networks

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Optical Cross-Connect Technologies for Flexible Optical networks

Optical Cross-Connect Technologies for Flexible Optical Netw...

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3rd IEEE International conference on Automation and Computation, AUTOCOM 2025

作者： Aggarwal, Prateek Nanduri, Sireesha Poonguzhali, S. Singh, B.P. Aggarwal, Prateek Das, Satya Ranjan Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India Department of Computer Science and Engineering Odisha Bhubaneswar India

ISBN: (纸本)9798331542375

Various optical cross-connect technologies are being developed for flexible next-generation optical networks to ensure the efficiency of real-time optical network routing. Demand for larger bandwidth and faster data transmission continues to grow. Therefore, these networks are becoming more and more significant. Conventional optical cross-connects offer limited scalability, and they need to be more flexible by nature due to their traditional architecture, hindering fast adaptation to altering traffic patterns. A solution to this problem is the new OXC technologies, which allow dynamic and reconfigurable optical networks. These technologies use high-end optics and electronics, including wavelength-selective switches and coherent receivers, to offer routing and switching flexibility. One key benefit of flexible OXC technologies is that their capabilities to support different transmission formats and data rates cater well to specific service requisites. They also allow for greater implementation of software-defined networking principles, creating centralized control and management over the network. Moreover, flexible OXCs enable efficient tower best practices and O&M savings through reduced manual network intervention. © 2025 IEEE.

关键词： Bandwidth

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