Energy-Efficient Transmission Based on Compressive Sensing in WSN

Hao Yang, Keming Tang, Hua Xu, Xiwei Wang

Abstract: Compressive Sampling(CS) has been currently utilized to save transmission consumption of sensors. In spite of the remarkable efforts the community put to a variety of designs, a vital question still remains unclear that whether the execution costs of sensors employing CS is not worth being considered, motivating us to explore the answer from a point of real deployment platform view. Presenting observations from our operating sensor network with 124 nodes deployed in the forest, we verify two important facts for energy consumption: 1) Different from previous literature, the cost of measure processing is not trivial. As the number of measurements increasing, it is a considerable percentage contrasted to transmission cost. 2) The value of measurement constantly changes along the routing, which may cause a cost jump in a specific location. Based on our findings from the system measurements, we propose an energy-efficient transmission approach based on CS. With our experiments, energy will be economized at least 15%. Our work gives a potential guideline for future designs in the field of the prolongation of lifetime of WSN.