Survey on compressive data collection techniques for wireless sensor networks

Abstract

The sensor nodes in Wireless Sensor Network sense the physical environment and the sensed information is transferred to the destination. Data Collection is a crucial function of a sensor node, as it requires more energy from the network. Different data collection techniques are formulated, among which the Compressive Sensing technique plays a vital role. Compressive Sensing aims at conserving energy, by reconstructing the sparse or compressed signals from smaller measurements with high probability. This paper presents the different compressive data collection techniques and analyses their features.