A Signal Separation Method for Physical Wireless Parameter Conversion Sensor Networks Using K-Shortest Path

Addressing low delay and high traffic performance is a technique necessary for wireless sensor networks (WSN). Although physical wireless parameter conversion sensor networks (PhyC-SN) achieve simultaneous information gathering from multiple sensors, separating the gathered mixed sensing results becomes a difficult problem. The proposed method utilizes an approach used in multi target tracking (MTT) in order to separate the mixed data points into a set of sequential ones. Particularly, we regard the data separation problem as path planning problems. In short, we consider paths by connecting data points observed at the adjacent time, and find a set of continuous paths consisting of data points of the same sensor. Following the problem, the same number of paths as sensors are obtained, so all sensing results can be correctly discriminated and labeled over all times in WSN. Therefore, we focus on a $k$-shortest pass method of MTT. In this paper, we show the accuracy of signal separation through simulation experiments and evaluate it in terms of the precision rate quantitatively.