Adaptive Transmission Control with Prediction of Sensing Results for PhyC-SN

Abstract

Wireless sensor networks are important data transfer system for supporting IoT. Since the application of IoT is widely spread, the requirement of WSN is diversified. Physical wireless parameter conversion sensor networks (PhyC-SN) can support the real time data collection and the affordability of collecting the sensing results from a lot of sensors. However, PhyC-SN cannot detect each sensing results, separately. The data tracking technique with using time continuity as tracking criterion is available for data separation but the error tracking occurs if sensing results are close. This paper proposes the transmission technique with the prediction of sensing results for the data separation of PhyC-SN. From the predicted sensing results, FC can estimate the occurrence of error tracking and switch access protocol from simultaneous access to time division access for avoiding error tracking. From the computer simulation, the proposed transmission technique achieves the more highly accurate data collection than time division multiple access and conventional PhyC-SN.