Publication Date: 2021/04/09
Abstract: Minimizing the energy consumption and prolonging the network lifetime through efficient data transmission are open research problems in practical Wireless Sensor Networks (WSNs). The proposed work focuses on data transmission based on Compressive Sensing (CS). Compressive sensing refers to the signal processing technique of sampling a sparse signal at subNyquist frequencies, and to recover the same by finding solutions to under-determined linear system of equations. The performance of this method on Low Energy Adaptive Clustering Hierarchy (LEACH) is investigated in this work. Simulation results show that Compressive Sensing based method outperforms in terms of energy efficiency as well as network lifetim
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PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT21APR030.pdf
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