Community coding algorithms had been demonstrated to have capability to improve the performance of wireless networks. This paper offers a research, assessment, and implementation of community coding algorithms for Wi-...
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The exponential growth of next-generation sequencing technologies has resulted in a massive influx of genomic data, posing significant challenges in storage, transmission, and processing. Conventional compression meth...
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ISBN:
(数字)9798331519582
ISBN:
(纸本)9798331519599
The exponential growth of next-generation sequencing technologies has resulted in a massive influx of genomic data, posing significant challenges in storage, transmission, and processing. Conventional compression methods, such as gzip and bzip2, are not optimized for the unique structural patterns and redundancies of genomic sequences, leading to suboptimal performance. Addressing this gap, our research introduces a novel data compression framework that leverages network coding principles to enhance efficiency, scalability, and reliability. network coding, widely used in communication systems, is adapted here to process and compress genomic data by employing finite field arithmetic and redundancy-aware encoding techniques. Our method achieves a compression ratio of up to 50% while maintaining a data integrity level of 99.99%, as validated through extensive mathematical analysis and experimental testing on diverse genomic datasets. Furthermore, the framework demonstrates linear scalability and robust error resilience, making it particularly suited for large-scale applications in clinical genomics and research. By bridging the gap between traditional compression algorithms and the growing demands of modern genomic data, this study lays the groundwork for more efficient and reliable data management solutions in bioinformatics.
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...
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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.
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 ...
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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.
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 du...
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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.
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 utiliz...
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ISBN:
(数字)9798331542375
ISBN:
(纸本)9798331542382
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.
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 ineffici...
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ISBN:
(数字)9798331527495
ISBN:
(纸本)9798331527501
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.
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. Spe...
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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.
The usage of network devices equipped with multiple radio access technologies is a promising way to achieve high throughput, low latency, and resilient wireless communication. However, classical scheduling approaches ...
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ISBN:
(数字)9783903176713
ISBN:
(纸本)9798331522025
The usage of network devices equipped with multiple radio access technologies is a promising way to achieve high throughput, low latency, and resilient wireless communication. However, classical scheduling approaches cannot realize the full potential because packet loss on one radio interface can result in resources on the other interfaces to remain unused. This is particularly a problem in situations with asymmetric link data and loss rates. We show that the performance of a multi-RAT system can be significantly improved by the application of intra-flow network coding where the loss of a single or multiple coded packets on one interface does not result in blockage and hence unused radio resources on some other interface. Moreover, it is less sensitive to transmission failures on the backward direction used by automatic repeat request (ARQ). Results from simulations reveal that our approach is able to outperform a classical approach in terms of throughput by factor of up-to 4.4× in certain scenarios.
Use of millimeter waves (mmWave) and other high frequency bands are expected to be a crucial part of 6G networks. Performance analysis of mmWave communication scenarios and modeling of various protocols in those situa...
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ISBN:
(数字)9798331513269
ISBN:
(纸本)9798331513276
Use of millimeter waves (mmWave) and other high frequency bands are expected to be a crucial part of 6G networks. Performance analysis of mmWave communication scenarios and modeling of various protocols in those situations have demonstrated the burst-error nature of mmWave channels. With the increasing adoption of such communication standards operating in lossy conditions, advanced communication techniques have started to be explored within the context of bursty channels. network coding is one such widely utilized technology for achieving high-throughput and reliable communication over lossy channels. This work focuses on modeling the TCP and TCP/NC protocols within a burst-error scenario, mainly focusing on the presence of time-out events as sources of window size reduction. We provide a detailed analysis of throughput and congestion control, along with their formulation and simulated results. We show that, even with the presence of time-out events, TCP/NC outperforms standard TCP by over an order of magnitude.
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