Fuzzy Fruit Fly Optimized Node Quality-Based Clustering Algorithm for Network Load Balancing  

作　　者：P.Rahul N.Kanthimathi B.Kaarthick M.Leeban Moses 

机构地区：[1]Department of Electronics and Communication Engineering,Bannari Amman Institute of Technology Sathyamangalam,638401,India [2]Department of Electronics and Communication Engineering,Coimbatore Institute of Engineering and Technology,Coimbatore,641109,India

出　　处：《Computer Systems Science & Engineering》2023年第2期1583-1600,共18页计算机系统科学与工程（英文）

摘　　要：Recently,the fundamental problem with Hybrid Mobile Ad-hoc Net-works(H-MANETs)is tofind a suitable and secure way of balancing the load through Internet gateways.Moreover,the selection of the gateway and overload of the network results in packet loss and Delay(DL).For optimal performance,it is important to load balance between different gateways.As a result,a stable load balancing procedure is implemented,which selects gateways based on Fuzzy Logic(FL)and increases the efficiency of the network.In this case,since gate-ways are selected based on the number of nodes,the Energy Consumption(EC)was high.This paper presents a novel Node Quality-based Clustering Algo-rithm(NQCA)based on Fuzzy-Genetic for Cluster Head and Gateway Selection(FGCHGS).This algorithm combines NQCA with the Improved Weighted Clus-tering Algorithm(IWCA).The NQCA algorithm divides the network into clusters based upon node priority,transmission range,and neighbourfidelity.In addition,the simulation results tend to evaluate the performance effectiveness of the FFFCHGS algorithm in terms of EC,packet loss rate(PLR),etc.

关 键 词：Ad-hoc load balancing H-MANET fuzzy logic system genetic algorithm node quality-based clustering algorithm improved weighted clustering fruitfly optimization 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]