Incremental Linear Discriminant Analysis Dimensionality Reduction and 3D Dynamic Hierarchical Clustering WSNs

作     者：G.Divya Mohana Priya M.Karthikeyan K.Murugan 

作者机构：Department of Electronics and Communication EngineeringTamilnadu College of EngineeringKarumathampattiCoimbatore641659India Department of Electronics and Communication EngineeringKPR Institute of Engineering and TechnologyAvinashiCoimbatore RdArasurCoimbatoreTamilnadu641048India 

出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)

年 卷 期：2022年第43卷第11期

页      面：471-486页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Lifetime energy optimization hierarchical routing protocol data transmission reduction incremental linear discriminant analysis(ILDA) three-dimensional(3D)space wireless sensor network(WSN) 

摘      要：Optimizing the sensor energy is one of the most important concern in Three-Dimensional(3D)Wireless Sensor Networks(WSNs).An improved dynamic hierarchical clustering has been used in previous works that computes optimum clusters count and thus,the total consumption of energy is ***,the computational complexity will be increased due to data dimension,and this leads to increase in delay in network data transmission and *** solving the above-mentioned issues,an efficient dimensionality reduction model based on Incremental Linear Discriminant Analysis(ILDA)is proposed for 3D hierarchical clustering *** major objective of the proposed work is to design an efficient dimensionality reduction and energy efficient clustering algorithm in 3D hierarchical clustering *** ILDA approach consists of four major steps such as data dimension reduction,distance similarity index introduction,double cluster head technique and node dormancy *** protocol differs from normal hierarchical routing protocols in formulating the Cluster Head(CH)selection *** to node’s position and residual energy,optimal cluster-head function is generated,and every CH is elected by this *** a 3D spherical structure,under the same network condition,the performance of the proposed ILDA with Improved Dynamic Hierarchical Clustering(IDHC)is compared with Distributed Energy-Efficient Clustering(DEEC),Hybrid Energy Efficient Distributed(HEED)and Stable Election Protocol(SEP)*** is observed that the proposed ILDA based IDHC approach provides better results with respect to Throughput,network residual energy,network lifetime and first node death round.