New scheduling model for intelligent resources allocation management in NGN

Fajar Rahayu Ikhwannul Mariati, Muhamad Asvial, Fitri Yuli Zulkifli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper discussed a new scheduling model for intelligent resources allocation management because a scheme for scheduling data traffic on heterogeneous networks that can overcome performance degradation due to excess traffic has not been developed. This scheduling model begins with individual initialization of genetic methods and ends with determining the final value of the results of the process through a cross over process which will eventually mutate individual properties. Based on the equation of Genetic Algorithm, it can be concluded that the access point 1 until 9 fulfill the requirement that the probability does not exceed 65%, and fitness value between 0.0552 to 0.1029. Therefore, this new model is suitable to be applied for intelligent resources allocation management in heterogeneous next generation networks.

Original languageEnglish
Title of host publicationProceedings of 2019 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728108346
DOIs
Publication statusPublished - Nov 2019
Event2019 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2019 - Depok, Indonesia
Duration: 12 Nov 201914 Nov 2019

Publication series

NameIEEE Region 10 Humanitarian Technology Conference, R10-HTC
Volume2019-November
ISSN (Print)2572-7621

Conference

Conference2019 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2019
CountryIndonesia
CityDepok
Period12/11/1914/11/19

Keywords

  • Cross Over
  • Heterogeneous Wireless Network
  • Intelligent Resources Allocation Management
  • Mutation
  • Scheduling

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