Novel MIMO-UWB based RTS/CTS Collaboration with Scalable Rate Prediction for Industrial WSNs

In this paper, a novel real-timed request-to-send/clear-to-send (RTS/CTS) collaboration with scalable rate-prediction (RCC-RP) scheme, using multiple-input-multiple-output ultrawideband (MIMO-UWB) and capable of selecting the transmission rate with the prediction of consequent signal-to-noise (SNR) of data frames to transmit, in the event of a poor channel condition for an industrial wireless sensor networks (IWSNs) is proposed. Simulation results show that the RTS/CTS collaboration's overhead and its consequent frame collision issues are minimized since RCC-RP implements an optimal RTS/CTS frame collaborations with-respect-to the contending station numbers and current data frame's transmission rates as compared to other rate prediction schemes.