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IFIP networking conference (IFIP networking)

作者： Chang, Hyunseok Hao, Fang Kodialam, Murali Lakshman, T., V Mukherjee, Sarit Varvello, Matteo Nokia Bell Labs Murray Hill NJ 07974 USA

ISBN: (纸本)9783903176485

The internet is poised to support new classes of industrial applications driven by large numbers of sensors and actuators generating and consuming sensor data streams. While the publish-subscribe (PubSub) architecture is well-suited for such large-scale data dissemination, existing over-the-top PubSub systems are not only vulnerable to network-induced performance degradation, but also unable to orchestrate the underlying network for better usage. This paper proposes a network-assisted PubSub architecture called SNAPS which enables seamless control of distributed PubSub brokers at the edge, as well as the network that interconnects them. SNAPS leverages SRv6-based network programmability to build and maintain network-efficient, shareable data distribution trees for brokers. The architecture is independent of broker implementation, making it suitable for "bringing your own brokers" at available edge locations. We describe how the network interconnecting the brokers can be programmed for efficient data distribution. Through simulation and prototype evaluation, we show the efficacy of SNAPS in providing better service for PubSub data delivery and better usage of the network resources.

关键词： publish-subscribe network architecture network management programmable networks SRv6 IoT

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Energy Efficient End Device Aware Solution Through SDN in Edge-Cloud Platform

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IEEE ACCESS 2022年 10卷 115192-115204页

作者： Patra, Sudhansu Shekhar Govindaraj, Ramya Chowdhury, Subrata Shah, Mohd Asif Patro, Rasmita Rout, Suchismita KIIT Deemed Univ Sch Comp Applicat Bhubaneswar 751024 India Vellore Inst Technol Sch Informat Technol & Engn Site Vellore 632014 Tamil Nadu India Sri Venkateswara Coll Engn & Technol A MCA Dept Chittoor 517127 Andhra Pradesh India Bakhtar Univ Dept Econ Kabul 1001 Afghanistan KIIT Deemed Univ Sch Comp Engn Bhubaneswar 751024 India

Recently, the networking industries have gone through tremendous changes. It demands high-speed operations and complex problem-solving abilities. To manage these evolutions internet-of-Things (IoT) is a proposed solution from several technical corners. Numerous researchers and government organizations showing their interest to provide solutions with IoT implementation. Handling a huge amount of network data, its privacy and security, quality of Service (QoS) requirements and heterogeneity of underlying networking components are the various challenges in IoT implementations. To provide the solution, Software Defined networking (SDN) is becoming a bliss in managing such complex networking problems. The allocation of the Virtual Machines (VMs) into the end device is an NP-Hard combinatorial optimization problem. We formulate the problem by using simple Additive Weighing (SAW) or Weighted Sum Method (WSM) to allocate the VMs asymmetrically based on CPU Utilization and Memory usage to optimize the energy. The proposed algorithm ServerCons minimizes the number of live migrations and the number of nodes used as well as the energy usage is at par with the state of art algorithms such as First-Fit-Decreasing(FFD), Best-Fit-Decreasing (BFD), and Modified-Best-Fit-Decreasing (MBFD).

关键词： Switches Routing Cloud computing performance evaluation control systems Servers Energy efficiency internet of Things Cloud computing end device aware energy efficiency IoT SDN

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ECA: Exclusive Cell Allocation for Autonomous Scheduling in Time-Slotted Channel Hopping 20

ECA: Exclusive Cell Allocation for Autonomous Scheduling in ...

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20th IEEE International conference on Mobile Ad Hoc and Smart systems, MASS 2023

作者： Shin, Juhun Kim, Hongchan Paek, Jeongyeup Bahk, Saewoong Seoul National University Department of Electrical and Computer Engineering and Inmc Seoul Korea Republic of Chung-Ang University Department of Computer Science and Engineering Seoul Korea Republic of

ISBN: (纸本)9798350324334

Time-slotted channel hopping (TSCH) is a synchronous MAC protocol designed to meet the requirements of many internet of Things systems and applications. TSCH requires a scheduling scheme to construct a rendezvous schedule between a communication pair, and autonomous scheduling is the state-of-the-art approach where each node schedules autonomously without extra control overhead. However, autonomous scheduling is oblivious of the schedules of other nodes due to its autonomous and thus near-sighted characteristic, and this gives rise to the cell conflict problem where multiple nodes attempt to communicate with a single node simultaneously, leading to communication failures and network performance degradation. To this end, we proposed ECA, an exclusive cell allocation scheme for autonomous scheduling in TSCH. ECA utilizes the parent-child relations in routing information to construct a local regulation that ensures exclusive cell allocation without additional control messages. Moreover, ECA is compatible with existing autonomous scheduling schemes such as ALICE and A3. We implement ECA on real embedded devices using ContikiOS, and evaluate on a 71-node testbed to confirm that ECA improves link-layer packet reception ratio by 39.8%, latency by 86.3%, and end-to-end packet delivery ratio by 22.9%. © 2023 IEEE.

关键词： internet of things

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8th International conference on Information System Design and Intelligent Applications, ISDIA 2024

8th International Conference on Information System Design an...

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8th International conference on Information System Design and Intelligent Applications, ISDIA 2024

ISBN: (纸本)9789819748945

The proceedings contain 45 papers. The special focus in this conference is on Information System Design and Intelligent Applications. The topics include: Denoising and quality Enhancement of CT Scan/X-Ray Images of Lung Disease for Enhanced Diagnosis;changing Paradigms in Dementia Care: Technology-Based Solutions;dead Drop Covert Channel Technique Using Windows Registry;A Comparison of LEACH-Like Protocols to Improve Power Consumption Efficiency in Wireless Sensor networks;The Efficacy of α-Channels in PNG Image File Format for Covert Communication;smartening Energy Consumption: A Comparative Study of Energy Optimization Strategies in IoT Environments;performance Evaluation of IoT-Fog-Cloud System for Data Storage, Analysis and Visualisations Using Retrial Queues Approach;investigation in Future Autonomous Transport;comparative Analysis of Simulation Tools and IoT Platforms for Middleware;dual Band Dual Polarized Coaxial Feed Microstrip Patch Antenna for Wireless Applications;enhancing E-Learning Interactivity with Haar Cascade User Detection;a Novel Method for Implementing the IoT-Based Hybrid Energy System with Pollution Monitoring and control in Coastal Roadways;A Novel Proportional Integral Derivative (PID) controller-Based control Strategy for a Formula Student Vehicle;a Bluetooth and Smartphone-Based Geofencing Solution For Monitoring Objects;performance Analysis of LoRa Communication in Suburban Environments;LPWAN Technologies in Smart Cities: A Comparative Analysis of LoRa, Sigfox, and LTE-M;forewarning Disaster Alert systems and Mitigation Response;optimizing Cloud Computing Resource Allocation Through Intelligent Strategies;ioT-Enabled Neural network Analysis for Early Detection and Prediction of Mental Depression;connecting IoT Sensors for Enhanced Dementia Disease Monitoring and Intervention;an Effective Exploration of Accessing 5G Mobile Communication That Affects E-Commerce Using IoT;smart Agriculture Farming Using Drone Automation Technology.

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NARX Identification using Derivative-Based Regularized Neural networks 61

NARX Identification using Derivative-Based Regularized Neura...

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IEEE 61st conference on Decision and control (CDC)

作者： Peeters, L. H. Beintema, G., I Forgione, M. Schoukens, M. Eindhoven Univ Technol Dept Elect Engn Control Syst Grp Eindhoven Netherlands IDSIA Dalle Molle Inst Artificial Intelligence US Lugano Switzerland

ISBN: (纸本)9781665467612

This work presents a novel regularization method for the identification of Nonlinear Autoregressive eXogenous (NARX) models. The regularization method promotes the exponential decay of the influence of past input samples on the current model output. This is done by penalizing the sensitivity of the NARX model simulated output with respect to the past inputs. This promotes the stability of the estimated models and improves the obtained model quality. The effectiveness of the approach is demonstrated through a simulation example, where a neural network NARX model is identified with this novel method. Moreover, it is shown that the proposed regularization approach improves the model accuracy in terms of simulation error performance compared to that of other regularization methods and model classes.

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8th International conference on Information System Design and Intelligent Applications, ISDIA 2024

8th International Conference on Information System Design an...

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8th International conference on Information System Design and Intelligent Applications, ISDIA 2024

ISBN: (纸本)9789819786657

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A Video Transmission control Strategy in Wireless network 4th

A Video Transmission Control Strategy in Wireless Network

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4th International conference on Wireless Communications and Applications, ICWCA 2020

作者： Zhou, Run Xiang, Min Liu, Yu Key Laboratory of Industrial Internet of Things and Networked Control Chongqing University of Posts and Telecommunications Chongqing China

ISBN: (纸本)9789811651632

Concerning the problem of poor video transmission quality caused by wireless network fluctuation, proposes a video transmission strategy based on fountain code. Combined with the characteristics of H.264 video stream, fountain code is used as the video transmission application layer coding scheme;a rate-based bandwidth estimation model is constructed, and the encoding parameters of fountain code are dynamically adjusted according to the bandwidth estimation results. Experiments show that the proposed video transmission control strategy can effectively improve the transmission quality of video data in wireless network environment with high packet loss rate. It has high coding flexibility and can effectively improve the bandwidth utilization. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Wireless networks

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Cross-modal Speech Separation Without Visual Information During Testing

Cross-modal Speech Separation Without Visual Information Dur...

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2023 IEEE Biomedical Circuits and systems conference, BioCAS 2023

作者： Liu, Yinggang Deng, Yuanjie Wei, Ying Shandong University School of Control Science and Engineering Jinan China

ISBN: (纸本)9798350300260

Visual information plays an important role in speech separation. It has been illustrated by many studies that audio-visual speech separation has better performance than audio-only speech separation. However, it is not always possible to capture high-quality visual information due to various factors. In this paper, we propose a novel audio-visual matching-based speech separation method. The network exploits audiovisual correlations in the training process, but does not require visual information during testing. The proposed cross-modal speech separation method is evaluated on GRID dataset. Experimental results show that the proposed method has a significant improvement in multiple evaluation metrics for different types of mixtures compared with other advanced speech separation methods. © 2023 IEEE.

关键词： audio-visual matching speech separation time domain

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Method for quality control of an Autonomous Neural network Model of a Non-Linear Dynamic System

Method for Quality Control of an Autonomous Neural Network M...

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International conference on Computational Intelligence and Applications (ICCIA)

作者： Xuechun Wang Vladimir Eliseev Department of Control and Intelligent Technologies National Research University “Moscow Power Engineering Institute” Moscow Russia

ISBN: (数字)9798350352214

ISBN: (纸本)9798350352221

The article discusses the problem of quality control of a neural network model with feedback, without using a reference model of a dynamic system. An approach is proposed based on the analysis of time series of input and output of the observed neural network model using a cross-correlation function (CCF) and a neural network autoencoder. An autoencoder is used to detect the CCF anomaly that occurs due to changes in the dynamic response of the observed neural network model. A change in the dynamic response relative to the normal one, that is, a disorder, may mean inadequate behavior of the model. Experimental confirmation of the performance of the quality control method for an autonomous neural network model was carried out using the example of a model with GRU architecture, trained like a nonlinear dynamic object.

关键词： Analytical models Computational modeling Neural networks Time series analysis quality control Computer architecture control systems Nonlinear dynamical systems Computational intelligence Testing

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An Improved and Stable Routing Protocol for Cognitive Radio Based IoT networks 9

An Improved and Stable Routing Protocol for Cognitive Radio ...

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9th IEEE International conference on internet of Things - systems, Management and Security (IOTSMS)

作者： Darabkh, Khalid A. Khazaleh, Hanan F. Al-Zubi, Raed T. Alnabelsi, Sharhabeel H. Salameh, Haythem Bany Univ Jordan Dept Comp Engn Amman 11942 Jordan Amer Univ Madaba Dept Mech Engn Madaba 17110 Jordan Univ Jordan Dept Elect Engn Amman 11942 Jordan Al Ain Univ Coll Engn Al Ain U Arab Emirates Al Balqa Appl Univ Fac Engn Technol Dept Comp Engn Al Salt 19117 Jordan Yarmouk Univ Telecommun Engn Dept Irbid Jordan

ISBN: (纸本)9798350320459

In recent years, the fusion of Cognitive Radio networks (CRNs) and the internet of Things (IoT) into Cognitive Radio Based IoT (CR-IoT) networks is a quite promising proposal. But, achieving a high level of stability for such networks is extremely challenging. In this work, we present an improved and stable Half-Duplex (HD) routing protocol with a unique sensing method and no Common control Channel (CCC) that employs a compound accumulative routing metric to select the required quality of Service (QoS) paths featured with the highest level of stability and maximal throughput. Moreover, the proposed protocol makes all the essential calculations while sending the Route Request Packet (RRQP) leading to reducing many overheads. Not only to this extent, but rather, the presented protocol introduces a path recovery technique during the HD data transmission stage. The simulation results demonstrate an explicit significant improvement over the most relevant protocol called the MultiCast-based Half Duplex Routing Protocol (MC-HDRP).

关键词： Cognitive Radio networks (CRN) quality of Service (QoS) Half-Duplex Cognitive Radio Ad Hoc network (HD-CRAHN) Common control Channel (CCC) Stability Routing Table

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