TY - JOUR
T1 - Energy Efficiency Based Load Balancing Optimization Routing Protocol In 5G Wireless Communication Networks
AU - Paikaray, Divya
AU - Chhabra, Divyanshi
AU - Sharma, Sachin
AU - Goswami, Sachin
AU - Shashikala, H. K.
AU - Jethava, Gordhan
N1 - Publisher Copyright:
© 2022 Kohat University of Science and Technology. All rights reserved.
PY - 2022
Y1 - 2022
N2 - A significant study area in cloud computing that still requires attention is how to distribute the workload among virtual machines and resources. Main goal of this research is to develop an efficient cloud load balancing approach, improve response time, decrease readiness time, maximise source utilisation, and decrease activity rejection time. This research propose novel technique in load balancing based network optimization using routing protocol for 5G wireless communication networks. the network load balancing has been carried out using cloud based software defined multi-objective optimization routing protocol. then the network security has been enhanced by data classification utilizing deep belief Boltzmann NN. Experimental analysis has been carried out based on load balancing and security data classification in terms of throughput, packet delivery ratio, energy efficiency, latency, accuracy, precision, recall.
AB - A significant study area in cloud computing that still requires attention is how to distribute the workload among virtual machines and resources. Main goal of this research is to develop an efficient cloud load balancing approach, improve response time, decrease readiness time, maximise source utilisation, and decrease activity rejection time. This research propose novel technique in load balancing based network optimization using routing protocol for 5G wireless communication networks. the network load balancing has been carried out using cloud based software defined multi-objective optimization routing protocol. then the network security has been enhanced by data classification utilizing deep belief Boltzmann NN. Experimental analysis has been carried out based on load balancing and security data classification in terms of throughput, packet delivery ratio, energy efficiency, latency, accuracy, precision, recall.
KW - 5G wireless communication networks
KW - load balancing
KW - network optimization
KW - network security
KW - routing protocol
UR - http://www.scopus.com/inward/record.url?scp=85147153221&partnerID=8YFLogxK
U2 - 10.17762/ijcnis.v14i3.5605
DO - 10.17762/ijcnis.v14i3.5605
M3 - Article
AN - SCOPUS:85147153221
SN - 2076-0930
VL - 14
SP - 187
EP - 198
JO - International Journal of Communication Networks and Information Security
JF - International Journal of Communication Networks and Information Security
IS - 3
ER -