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检索条件"主题词=network coding"

共 10751 条记录，以下是21-30 订阅

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network coding Techniques for Resource Allocation in Wireless Relay networks

Network Coding Techniques for Resource Allocation in Wireles...

引用

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

作者： Khanna, Lalit Ranganathaswamy, M.K. Balamurugan, V. Maharishi, Ankita Agarwal Saini, Rajat Nanda, Sarmistha Chitkara Centre for Research and Development Chitkara University Himachal Pradesh Baddi 174103 India School of Engineering and Technology Jain (Deemed to be University) Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura 140417 India Siksha 'O' Anusandhan (Deemed to be University) Department of Computer Applications Odisha Bhubaneswar India

ISBN: (纸本)9798331542375

network coding is an applicable technique to enhance the performance of wireless relay networks, in which intermediate nodes are utilized to expand the coverage range and increase communication reliability. The utilization of network coding in these networks should be well addressed by resource allocation such as bandwidth and power allocation. Among them, network coding for resource allocation in wireless relay networks is the most attractive research work. In particular, dynamic network coding is a strategy that varies how we code data according to current conditions in the network so as to achieve the maximum possible throughput during relaying. Dual-joint power and resource combinations have relatively better performance gains due to the efficient channel gain with an additional level of resource utilization for enhanced resource allocation. In addition, network coding schemes, including opportunistic and homomorphic network coding, have been introduced to perform well in an environment with fading channels and enhance data transmitting reliability. These techniques take advantage of the intrinsic diversity in wireless pathways to improve overall network throughput and reduce latency. © 2025 IEEE.

关键词： Bandwidth Dual-Joint network coding Relatively Better Reliability

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network coding for Scalable Genomic Data Transmission in Public Health Crises

Network Coding for Scalable Genomic Data Transmission in Pub...

引用

Disruptive Technologies (ICDT), International Conference on

作者： Sultan Alam Ram Kumar Monica Sankat School of Computing Science and Engineering VIT Bhopal University Sehore India

ISBN: (数字)9798331519582

ISBN: (纸本)9798331519599

Quick genomic data transfer acts as an essential tool that public health teams need during emergencies like the COVID-19 outbreak. network coding stands as a technology evaluated for improving large-scale genomic data transmissions in distributed networks. The experimental results show that network coding leads to substantial improvement of transmission throughput through reduces times by 47.2% relative to other standard approaches. network coding technology displays superior error resilience capability because it recovers 92.3% of data at 10% error rate when compared to normal transmission methods which recover only 65.4%. The introduction of slight computational workloads provides high data integrity protection by maintaining reconstruction accuracy above 98.4% and achieving complete integrity for both small and large datasets. The utilization rate of networks can reach 89.5% across multiple server environments. The study demonstrates how network coding technology optimizes genetic data sharing processes by delivering quicker and more resilient and expandable information distribution for genomic research along with public health intervention programs.

关键词： COVID-19 Error analysis Data integrity Genomics network coding Data transfer Throughput Bioinformatics Public healthcare Standards

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network coding for Efficient Molecular Data Transmission in Cancer Research

Network Coding for Efficient Molecular Data Transmission in ...

引用

Intelligent Control, Computing and Communications (IC3), International Conference on

作者： Sultan Alam Aniket Yadav Khan Mohammad Zaid Shahnawaz Piyush Makhija Birendra Jena School of Computer Science and Engineering VIT Bhopal University Sehore India School of Computer Science Engineering and Artificial Intelligence VIT Bhopal University Sehore India

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527501

Efficient transmission of molecular data among labs is crucial for advancing cancer research and fostering collaboration. However, traditional data-sharing methods often cause delays, impeding research progress. This paper examines the role of network coding in improving the speed and efficiency of data transmission within cancer research. We analyze the limitations of current approaches, emphasizing the benefits of network coding as a transformative solution. The methodology of network coding is detailed, supported by a mathematical model demonstrating its effectiveness in optimizing data transfer processes. Furthermore, practical challenges and potential solutions for implementing network coding in real-world scenarios are discussed. By addressing these barriers, this paper highlights the potential of network coding to significantly accelerate data sharing, thereby enhancing the pace of discovery and innovation in cancer research.

关键词： Technological innovation Scalability Collaboration Transforms network coding Mathematical models Encoding Delays Reliability Cancer

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network coding for Efficient Data Transmission in COVID-19 Genomic Research

Network Coding for Efficient Data Transmission in COVID-19 G...

引用

2025 International Conference on Intelligent Control, Computing and Communications, IC3 2025

作者： Alam, Sultan Mathur, Aryan Srivastava, Akshat Bisht, Siddharth Singh Solanki, Sandeep School of Computing Science and Engineering Vit Bhopal University Sehore 466116 India School of Computing Science Engineering and Artificial Intelligence Vit Bhopal University Sehore 466116 India

ISBN: (纸本)9798331527495

We looked at the potential impact of network coding in terms of efficiency during the transmission of data related to protein folding simulations. Classical methods for data transmission encounter significant inefficiencies arising from the loss of packets. Our method utilizes algebraic combination for improving transmission efficiency while using network coding for efficient transmission of packet data. Results from tests showed that the network coded achieved high improvements: while packet loss rates were set at 10%, 20%, and 30% respectively, the network was transmitting 120 Mbps, 90 Mbps, and 60 Mbps. While this was in contrast to 80 Mbps, 60 Mbps, and 40 Mbps for the traditional methods used. This means that every one of the scenarios had been improved by a consistent rate of 50%. This research explores the possibility of network coding improving data transmission in high packet loss environments, thus speeding up simulations and improving resource management. network coding will lead to faster and more accurate results in protein folding simulations, significantly benefiting computational biology and related fields. © 2025 IEEE.

关键词： COVID-19 data transmission genomic data high-throughput analysis network coding

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network coding for Fault-Tolerant Transmission of Biomedical Data

Network Coding for Fault-Tolerant Transmission of Biomedical...

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Intelligent Control, Computing and Communications (IC3), International Conference on

作者： Sultan Alam Ishmeet Kaur Shaivyaa Sharma Ayush Kamal Priyanshu Paul School of Computing Science and Engineering VIT Bhopal University Sehore M.P India School of Computing Science and Artificial intelligence VIT Bhopal University Sehore M.P India

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527501

This paper introduces a novel approach to enhance fault-tolerance in biomedical data transmission using network coding methods. In healthcare, even minor data loss or delays can have severe consequences, especially during remote medical procedures or emergencies. Traditional error correction methods struggle with adverse network conditions, leading to extended transmission times and data loss. network coding encodes data packets so the original data can be reconstructed even when some packets are corrupted or lost, reducing the need for retransmissions. Simulations show a 20% improvement in fault tolerance over conventional techniques. The approach is scalable, handling diverse biomedical data, from vital signs to complex signals like ECG and EEG, ensuring reliable transmission in various network conditions. This method offers an efficient, robust solution for real-time biomedical data transmission, addressing existing limitations and advancing healthcare technology.

关键词： Fault tolerance Fault tolerant systems Medical services network coding Propagation losses Real-time systems Electroencephalography Error correction Bioinformatics Intelligent control

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network coding Techniques for Resource Allocation in Wireless Relay networks

Network Coding Techniques for Resource Allocation in Wireles...

引用

Automation and Computation (AUTOCOM), International Conference on

作者： Lalit Khanna Ranganathaswamy M K Balamurugan V Ankita Agarwal Maharishi Rajat Saini Sarmistha Nanda Chitkara Centre for Research and Development Chitkara University Baddi Himachal Pradesh India School of Engineering and Technology Mechanical Engineering JAIN (Deemed to be University) Bangalore Karnataka India Department of Electronics and Communication Engineering Sathyabama Institute of Science and Technology Chennai Tamil Nadu India School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of Computer Applications Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar Odisha India

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

关键词： Wireless communication Fading channels Relay networks Bandwidth Quality of service network coding Performance gain Throughput Resource management Reliability

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network coding for Efficient Data Transmission in COVID-19 Genomic Research

Network Coding for Efficient Data Transmission in COVID-19 G...

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Intelligent Control, Computing and Communications (IC3), International Conference on

作者： Sultan Alam Aryan Mathur Akshat Srivastava Siddharth Singh Bisht Sandeep Solanki School of Computing Science and Engineering VIT Bhopal University Sehore India School of Computing Science Engineering and Artificial Intelligence VIT Bhopal University Sehore India

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527501

关键词： COVID-19 Proteins Pandemics Genomics Packet loss network coding Data models Data communication Reliability Bioinformatics

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network coding for Fault-Tolerant Transmission of Biomedical Data

Network Coding for Fault-Tolerant Transmission of Biomedical...

引用

2025 International Conference on Intelligent Control, Computing and Communications, IC3 2025

作者： Alam, Sultan Kaur, Ishmeet Sharma, Shaivyaa Kamal, Ayush Paul, Priyanshu School of Computing Science and Engineering Vit Bhopal University M.P Sehore 466114 India School of Computing Science and Artificial intelligence Vit Bhopal University M.P Sehore 466114 India

ISBN: (纸本)9798331527495

关键词： biomedical data fault-tolerance healthcare network coding

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network coding for Efficient Molecular Data Transmission in Cancer Research

Network Coding for Efficient Molecular Data Transmission in ...

引用

2025 International Conference on Intelligent Control, Computing and Communications, IC3 2025

作者： Alam, Sultan Yadav, Aniket Shahnawaz, Khan Mohammad Zaid Makhija, Piyush Jena, Birendra School of Computer Science and Engineering Vit Bhopal University Sehore 466114 India School of Computer Science Engineering and Artificial Intelligence Vit Bhopal University Sehore 466114 India

ISBN: (纸本)9798331527495

关键词： cancer research data transmission efficiency network coding

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Age of Information Based Optimal network coding in Multi-Source Multi-Hop IoT networks

Age of Information Based Optimal Network Coding in Multi-Sou...

引用

IEEE Conference on Wireless Communications and networking

作者： İbrahim Kahraman Mutlu Koca Emin Anarım Department of Electrical and Electronics Engineering Bogazici University Istanbul Turkey

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

In this paper, we explore the optimal use of network coding in multi-source multi-hop Internet of things (IoT) networks, focusing on minimizing the average age of information (AoI) under various system parameters. Specifically, we determine the optimal number of packets for performing network coding at intermediate nodes (servers) to optimize the average AoI performance. Through extensive simulations, we demonstrate how frequency of network coding impacts data freshness across a range of scenarios, including different numbers of sources, transmission success probabilities, and computational capacities. Simulation results provide practical insights into the deployment of network coding in real-world IoT applications, shedding light on the design process of how to implement network coding and highlighting its potential to significantly improve timeliness in data delivery.

关键词： Computational modeling Simulation Focusing Spread spectrum communication network coding Information age Internet of Things Servers Monitoring Capacity planning

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