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Performance analysis of various hierarchical routing protocols using spatial correlation.

Authors :
Kalaivaani, P.T.
Krishnamoorthy, Raja
Source :
Measurement (02632241). Oct2019, Vol. 144, p44-51. 8p.
Publication Year :
2019

Abstract

• The performance of SCLEACH, SCPEGASIS, SCTEEN is analyzed. • Single report is enough to transfer to the sink, to avoid redundant reports. • Proposed protocols have been compared with k-d tree algorithm. • Five parameters are considered for the analysis. SCHRP model takes less time to measure the parameters of the network. In Wireless Sensor Networks (WSNs), the most significant task is to gather the data from the sensor nodes available in specific region available in event sensing field. The nodes in WSNs are energy constrained. To enhance the lifetime of WSNs, energy efficient protocols are needed. Spatial Correlation based Low Energy Adaptive Clustering Hierarchy (SCLEACH), Spatial Correlation based Power-efficient Gathering in Sensor Information Systems (SCPEGASIS), Spatial Correlation based Threshold Sensitive Energy Efficient Sensor Network Protocol (SCTEEN) are well-designed solutions to rectify this problem. These protocols minimize the overall dissipation by means of individual sensor nodes located in the network. Spatial correlation based Hierarchical Routing Protocols (SCHRP) adapt clustering concept and enhance the energy efficiency and the performance of over all network. The Performance of SCHRP model is compared with existing LEACH and PEGASIS, TEEN protocols and results have been taken for various parameters such as End-to-End delay, Packet drop, Packet delivery ratio, Throughput, Energy Efficiency and Energy Consumption. The proposed SCLEACH has 6.35% higher energy efficiency than the existing LEACH protocol. The impact of the proposed protocols are evaluated using various parameters and compared with k-d tree algorithm. The importance of spatial correlation based routing concept is analyzed with respect to k-d tree algorithm and the simulation results have been taken using Network Simulator tool. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02632241
Volume :
144
Database :
Academic Search Index
Journal :
Measurement (02632241)
Publication Type :
Academic Journal
Accession number :
136911511
Full Text :
https://doi.org/10.1016/j.measurement.2018.11.084