Performance Analysis of CSMA/CA and PCA for Time Critical Industrial IoT Applications
05 Feb 2018-IEEE Transactions on Industrial Informatics (Institute of Electrical and Electronics Engineers (IEEE))-Vol. 14, Iss: 5, pp 2281-2293
TL;DR: A novel Markov-chain-based analytical model for unslotted CSMA/CA and PCA for industrial applications offers satisfactory performance with less than 5% error when validated using Monte Carlo simulations and is verified using real-time testbed.
Abstract: Recently proposed IEEE 802.15.4-2015 MAC introduced a new prioritized contention access (PCA) for transfer of time-critical packets with lower channel access latency compared to carrier sense multiple access—collision avoidance (CSMA/CA). In this paper, we first propose a novel Markov-chain-based analytical model for unslotted CSMA/CA and PCA for industrial applications. The unslotted model is further extended to derive the analytical model for slotted CSMA/CA and PCA. Primary emphasis is laid on understanding the performance of PCA compared to CSMA/CA for different traffic classes in industrial applications. The performance analysis shows that the slotted PCA achieves a reduction of 63.3% and 97% in delay and power consumption respectively compared to slotted CSMA/CA, whereas unslotted PCA achieves a delay reduction of 53.3% and reduction of power consumption by 96% compared to unslotted CSMA/CA without any significant loss of reliability. The proposed analytical models for both slotted and unslotted IEEE 802.15.4-2015 MAC offer satisfactory performance with less than 5% error when validated using Monte Carlo simulations. Also, the performance is verified using real-time testbed.
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