5G Data Offloading Using Fuzzification with Grasshopper Optimization Technique  

作　　者：V.R.Balaji T.Kalavathi J.Vellingiri N.Rajkumar Venkat Prasad Padhy 

机构地区：[1]Department of ECE,Sri Krishna College of Engineering and Technology,Coimbatore,641008,India [2]Department of EIE,Kongu Engineering College,Erode,638060,India [3]School of Information Technology and Engineering,Vellore Institute of Technology,Vellore,632014,India [4]Department of CSE,School of Engineering,Presidency University,Bangalore,560064,India [5]School of Computing Science and Engineering,VIT Bhopal University,Bhopal,466114,India

出　　处：《Computer Systems Science & Engineering》2022年第7期289-301,共13页计算机系统科学与工程（英文）

摘　　要：Data offloading at the network with less time and reduced energy con-sumption are highly important for every technology.Smart applications process the data very quickly with less power consumption.As technology grows towards 5G communication architecture,identifying a solution for QoS in 5G through energy-efficient computing is important.In this proposed model,we perform data offloading at 5G using the fuzzification concept.Mobile IoT devices create tasks in the network and are offloaded in the cloud or mobile edge nodes based on energy consumption.Two base stations,small(SB)and macro(MB)stations,are initialized and thefirst tasks randomly computed.Then,the tasks are pro-cessed using a fuzzification algorithm to select SB or MB in the central server.The optimization is performed using a grasshopper algorithm for improving the QoS of the 5G network.The result is compared with existing algorithms and indi-cates that the proposed system improves the performance of the system with a cost of 44.64 J for computing 250 benchmark tasks.

关 键 词：5G energy consumption task offloading FUZZIFICATION grasshopper optimization QoS mobile IoT 

分 类 号：TN929.5[电子电信—通信与信息系统]