Optimization, Modeling and Data Analytic Approaches in Network Coding

Dear Colleagues,

Over the last decade, significant progress has been made in realizing network coding, from theory to practice. Besides improving the communication efficiency in networks, network coding can also be applied into other scenarios, such as distributed storage and caching systems. Traditional technologies face various challenges in emerging applications, like vehicular networks, industrial networks, Internet of Things, and smart city developments, whereas network coding is a promising candidate to overcome some of these potential challenges. This Special Issue aims to focus on realizing the potential of network coding in practice, as well as steering city development forward. Topics of interest include, but not limited to, the following:

• The enhancement of existing mathematical models in network coding;
• The use of optimization frameworks to enhance efficiency or reduce overhead;
• The algorithmic development of network coding problems;
• The enforcement of security and message integrity in network coding;
• Data analytic and machine learning approaches in network coding;
• The application of network coding over existing infrastructures and urban development.

Papers focusing on mathematical, modeling, and data analysis aspects related to network coding challenges are also highly welcome. Proposals that identify these challenges, with the aim of enhancing future human living qualities, also fall within the scope of this Special Issue.

Dr. Hoover H. F. Yin
Dr. Hugo Wai Leung Mak
Guest Editors

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• network coding
• network communication
• network computation and optimization
• distributed storage information theory and numerical analysis
• machine learning algorithms modeling in network coding
• the application of network coding for smart city development
• the enhancement of data transmission efficiency via models