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Energy Efficiency Based Load Balancing Optimization Routing Protocol In 5G Wireless Communication Networks

Author(s)
Divya Paikaray Department of Computer Science, ARKA JAIN University, Jamshedpur, Jharkhand, India
Divyanshi Chhabra Department of Computer Science Engineering, Chandigarh Engineering College, Jhanjeri, India
Sachin Sharma Department of Computer Science and Engineering, Dev Bhoomi Uttarakhand University, Dehradun, Uttarakhand, India
Sachin Goswami Department of Management, Sanskriti University, Mathura, Uttar Pradesh, India
Shashikala H K Department of Computer Science and Engineering, Jain (Deemed-to-be University), Bangalore, India
Gordhan Jethava Department of Computer Science and Engineering, Jain (Deemed-to-be University), Bangalore, India
Abstract
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.
Publication Details
Page(s) 187-198
DOI DOI not available
Published Journal: International Journal of Communication Networks and Information Security, Volume: 14, Issue: 3, Year: 2022

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Keywords
Load balancing, network optimization, Routing Protocol, 5G wireless communication networks, network security
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