Data Tracking Using Frequency Offset and SIC for Physical Wireless Conversion Sensor Networks

The physical wireless conversion sensor network (PhyC- SN) can exploit small frequency bandwidth. In the PhyC- SN, the sensing results are projected on the wireless communication parameters, such as frequency, time, and antenna and thus the fusion center can recognize the distribution of all the sensing data in a time. However, it hardly detects the sensing results if the data are close to each other or the inter-carrier interference occurs due to frequency offset. This paper proposes the blind serial interference cancellation (SIC) for the decomposition of sensing results in PhyC- SN. The channel state information and the frequency offset can be estimated from the transmitted signal. As a result, the construction of interference replica suppresses the mutual interference between transmitted signals. We use the estimated frequency offset as the specific feature of sensor node for data tracking. From the computer simulation, the optimal frequency offset is clarified for the sensing data separation based on data tracking.