Authors :
Darshana A. P; Ebin M. Manuel
Volume/Issue :
Volume 6 - 2021, Issue 4 - April
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/39U7n6M
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
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
