AN ANALYSIS OF A COMPRESSION SCHEME FOR WIRELESS SENSOR NETWORKS

Abstract

 We provide a succinct overview of compressive sensing (CS) used on the wireless sensor web in this paper. Since the majority of the energy used in wireless sensor networks (WSNs) is utilised for sampling and transmission, the sampling rate of the sensors dictates the rate of its energy consumption. CS theory used to minimise the number of samples that sensor nodes took in order to conserve energy in WSNs and hence increase the network lifetime. Additionally, CS is used to collect data for massive wireless sensor networks (WSNs), which are networks of thousands of sensors used for projects like infrastructure or environmental monitoring. Utilising compressive data gathering (CDG) is a development that aids in overcoming the difficulties posed by high communication costs.