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

Computer Systems Science & Engineering 2022年第11期43卷 471-486页

作者： G.Divya Mohana Priya M.Karthikeyan K.Murugan Department of Electronics and Communication Engineering Tamilnadu College of EngineeringKarumathampattiCoimbatore641659India Department of Electronics and Communication Engineering KPR Institute of Engineering and TechnologyAvinashiCoimbatore RdArasurCoimbatoreTamilnadu641048India

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.

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

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