New Scheduling Model for Intelligent Resources Allocation Management in NGN

被引：0

作者：

Mariati, Fajar Rahayu Ikhwannul ^{[1
]}

Asvial, Muhamad ^{[1
]}

Zulkifli, Fitri Yuli ^{[1
]}

机构：

[1] Univ Indonesia, Dept Elect Engn, Depok 16424, Indonesia

来源：

PROCEEDINGS OF 2019 IEEE R10 HUMANITARIAN TECHNOLOGY CONFERENCE (IEEE R10 HTC 2019) | 2019年

关键词：

Scheduling; Heterogeneous Wireless Network; Intelligent Resources Allocation Management; Cross Over; Mutation; ALGORITHM; PERFORMANCE;

D O I：

10.1109/r10-htc47129.2019.9042475

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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.

引用

页码：61 / 65

页数：5

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