Network Coding for Efficient Molecular Data Transmission in Cancer Research

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.

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Published
2025-02-13
DOI
https://doi.org/10.1109/ic363308.2025.10956408
Primary Topic
Molecular Communication and Nanonetworks
Type
article
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0.00
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Network Coding for Efficient Molecular Data Transmission in Cancer Research

Sultan Alam, Aniket Yadav, Khan Mohammad Zaid Shahnawaz, Piyush Makhija et al.
Molecular Communication and Nanonetworks
article

Network Coding for Efficient Molecular Data Transmission in Cancer Research

Sultan Alam, Aniket Yadav, Khan Mohammad Zaid Shahnawaz, Piyush Makhija, Birendra Jena
article en

Abstract

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.

Barkatullah University (IN)
Openalex Percentile: Top 93%
Molecular Communication and Nanonetworks
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Network Coding for Efficient Molecular Data Transmission in Cancer Research — Sultan Alam, Aniket Yadav, et al. · (2025) | TGRS Research Map | TGRS