International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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On the Data Features for Neighbor Path Selection in Computer Network with Regional Failure

  • Yong-Jin Lee (Dept. of Technology Education, Korea National University of Education)
  • Received : 2023.08.10
  • Accepted : 2023.09.17
  • Published : 2023.09.30
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Abstract

This paper aims to investigate data features for neighbor path selection (NPS) in computer network with regional failures. It is necessary to find an available alternate communication path in advance when regional failures due to earthquakes or forest fires occur simultaneously. We describe previous general heuristics and simulation heuristic to solve the NPS problem in the regional fault network. The data features of general heuristics using proximity and sharing factor and the data features of simulation heuristic using machine learning are explained through examples. Simulation heuristic may be better than general heuristics in terms of communication success. However, additional data features are necessary in order to apply the simulation heuristic to the real environment. We propose novel data features for NPS in computer network with regional failures and Keras modeling for computing the communication success probability of candidate neighbor path.

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Acknowledgement

This work was supported by the 2023 Sabbatical Leave Research Grant funded by Korea National University of Education.

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