kumoh national institute of technology
Networked Systems Lab.

W. Nwadiugwu and D. Kim, "Novel MIMO-UWB based RTS/CTS Collaboration with Scalable Rate Prediction for Industrial WSNs," 2019 15th IEEE International Workshop on Factory Communication Systems (WFCS), Sundsvall, Sweden, 2019, pp. 1-4. doi: 10.1109/WFCS.2019.8758032 (N2) & (N8)
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Date : 2019-04-01
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Abstract:
The need to guarantee a 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) network technology for an industrial environment is an emerging area of research investigation. In this paper, a novel RCC-RP scheme, 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.