A parameter optimization tool and its application to throughput estimation model for wireless LAN

Nobuo Funabiki*, Chihiro Taniguchi, Kyaw Soe Lwin, Khin Khin Zaw, Wen Chung Kao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Most of algorithms or logics to solve mathematical problems adopt multiple parameters such as coefficients and thresholds whose values should be carefully selected to enhance the performance. Conventionally, their developers or users tune them by trial and error, where they repeat to apply algorithms or logics with proper parameter values to available input data sets and modify them based on the results. As a result, this tuning process may consume a great deal of energy and not always provide the optimal ones. In this paper, we present a versatile parameter optimization tool to explore optimal values of parameters for various algorithms/logics. We show the effectiveness through applications for the throughput estimation model for wireless local-area networks, with the extension of the model.

Original languageEnglish
Title of host publicationComplex, Intelligent, and Software Intensive Systems - Proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017
EditorsLeonard Barolli, Olivier Terzo
PublisherSpringer Verlag
Pages701-710
Number of pages10
ISBN (Print)9783319615653
DOIs
Publication statusPublished - 2018
Event11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017 - Torino, Italy
Duration: 2017 Jul 102017 Jul 12

Publication series

NameAdvances in Intelligent Systems and Computing
Volume611
ISSN (Print)2194-5357

Other

Other11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017
Country/TerritoryItaly
CityTorino
Period2017/07/102017/07/12

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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