NDLI: Performance analysis of iterative linear regression-based clustering in wireless sensor networks

Content Provider	IET Digital Library
Author	Meenalochani, Manickam Hemavathi, Natarajan Sudha, Selvaraj
Abstract	Clustering, an energy efficient approach is preferred in wireless sensor network due to the limited energy consumption of sensor nodes. Clustering saves energy as the communication is restricted to a few nodes, thereby increasing the network lifetime. Recently, an iterative linear regression-based clustering is proposed to improve the cluster quality in a wireless sensor network. The quality of clusters so obtained is evaluated through Matlab using the cluster validity analysis platform. However, the performance of the clusters so obtained using iterative linear regression in terms of energy efficiency is not dealt. Hence, an attempt is made to investigate the performance of the network through real time experiments. The network performances are studied in terms of intra-cluster and inter-cluster energy consumption, first node death, half node death and last node death. To prove the effectiveness of the proposed technique, it is compared with the standard k-means clustering algorithm. The results reveal that the clusters obtained using iterative linear regression is efficient in enhancing the lifetime of the wireless sensor network.
Starting Page	423
Ending Page	429
Page Count	7
ISSN	17518822
Volume Number	14
e-ISSN	17518830
Issue Number	Issue 4, Jun (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-smt/14/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-smt.2019.0258
Journal	IET Science, Measurement & Technology
Publisher Date	2019-12-19
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cluster Quality Cluster Validity Analysis Platform Clustering Algorithm Energy Conservation Energy Consumption Energy Efficiency Energy Efficient Approach First Node Death Half Node Death Inter-cluster Energy Consumption Interpolation And Function Approximation Intra-cluster Energy Consumption Iterative Linear Regression-based Clustering Iterative Method Last Node Death MATLAB Network Lifetime Network Performances Numerical Analysis Numerical Approximation And Analysis Pattern Clustering Performance Analysis Probability Theory Regression Analysis Reliability Sensor Node Standard K-means Clustering Algorithm Statistics Stochastic Linearised SCUC Telecommunication Network Reliability Telecommunication Power Management Wireless Sensor Network
Content Type	Text
Resource Type	Article
Subject	Atomic and Molecular Physics, and Optics Electrical and Electronic Engineering

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