TY - GEN
T1 - New scheduling model for intelligent resources allocation management in NGN
AU - Mariati, Fajar Rahayu Ikhwannul
AU - Asvial, Muhamad
AU - Zulkifli, Fitri Yuli
PY - 2019/11
Y1 - 2019/11
N2 - 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.
AB - 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.
KW - Cross Over
KW - Heterogeneous Wireless Network
KW - Intelligent Resources Allocation Management
KW - Mutation
KW - Scheduling
UR - http://www.scopus.com/inward/record.url?scp=85083032641&partnerID=8YFLogxK
U2 - 10.1109/R10-HTC47129.2019.9042475
DO - 10.1109/R10-HTC47129.2019.9042475
M3 - Conference contribution
T3 - IEEE Region 10 Humanitarian Technology Conference, R10-HTC
BT - Proceedings of 2019 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2019
Y2 - 12 November 2019 through 14 November 2019
ER -
