Abstract
IEEE 802.11ah is a wireless network protocol designed for large-scale Industrial Internet of Things (IIoT) scenarios. The restricted access window (RAW) mechanism introduced by IEEE 802.11ah assigns the nodes into different RAW groups to reduce conflicts between nodes. The original RAW mechanism randomly divides nodes into RAW groups with the same duration, which cannot meet the different requirements of different nodes. In order to reasonably divide the nodes into different RAW groups, a RAW grou** algorithm based on outage probability (OP-RAW) is proposed in this paper. Outage probability is introduced to evaluate the quality of data transmission in IIoT, and the influencing factors is analyzed. OP-RAW calculates the time slot duration of the nodes according to the load and outage probability of different nodes, and then groups the nodes with the same time slot duration requirements into the same RAW group. The simulation results show that, compared with the traditional RAW grou** algorithm and other RAW group optimization algorithm, the OP-RAW can increase the throughput by about 15% and effectively reduce the transmission delay.
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Acknowledgment
This work is supported by the National Key R&D Program of China (2018YFB1700100), CERNET Innovation Project (NGII20190801) and the Fundamental Research Funds for the Central Universities (DUT21LAB115).
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Sun, W., Ding, J., Cao, J., Meng, K., Lin, C. (2021). OP-RAW: A RAW Grou** Algorithm Based on Outage Probability for Industrial Internet of Things. In: Cui, L., **e, X. (eds) Wireless Sensor Networks. CWSN 2021. Communications in Computer and Information Science, vol 1509. Springer, Singapore. https://doi.org/10.1007/978-981-16-8174-5_4
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DOI: https://doi.org/10.1007/978-981-16-8174-5_4
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