Enhancing Reliability and Energy Efficiency for Industrial IoT using IRSA-PSO 


Vol. 48,  No. 10, pp. 1203-1210, Oct.  2023
10.7840/kics.2023.48.10.1203


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  Abstract

This paper introduces an Irregular Repetition Slotted ALOHA (IRSA) with Particle Swarm Optimization (PSO) approach for improving energy efficiency in Industrial Internet of Things (IIoT) networks. The proposed approach combines the simplicity and scalability of IRSA with the optimization capabilities of PSO to enhance network performance. By optimizing the repetition patterns and slot allocations, the IRSA-PSO approach minimizes collisions and improves the overall system efficiency. Through extensive simulations, we demonstrate that the proposed approach outperforms existing protocols in terms of achieving the desired error rate while reducing energy consumption. This contribution addresses the challenges of error rate and energy efficiency in IIoT networks, providing a valuable framework for designing efficient and reliable communication protocols in IIoT applications.

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[IEEE Style]

W. J. Ryu, J. H. Lee, J. H. Yu, D. Kim, "Enhancing Reliability and Energy Efficiency for Industrial IoT using IRSA-PSO," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 10, pp. 1203-1210, 2023. DOI: 10.7840/kics.2023.48.10.1203.

[ACM Style]

Won Jae Ryu, Jae Ho Lee, Jae Hak Yu, and Dong-Seong Kim. 2023. Enhancing Reliability and Energy Efficiency for Industrial IoT using IRSA-PSO. The Journal of Korean Institute of Communications and Information Sciences, 48, 10, (2023), 1203-1210. DOI: 10.7840/kics.2023.48.10.1203.

[KICS Style]

Won Jae Ryu, Jae Ho Lee, Jae Hak Yu, Dong-Seong Kim, "Enhancing Reliability and Energy Efficiency for Industrial IoT using IRSA-PSO," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 10, pp. 1203-1210, 10. 2023. (https://doi.org/10.7840/kics.2023.48.10.1203)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880