Fuzzy Logic Medium Access Controller Mechanism in WiNoC (FLMAC-WiNoC): Ehancing System Performance and Improve Energy Efficiency

Authors

  • Ayodeji Ireti Fasiku Computer Engineering Department, Faculty of Engineering, Ekiti State University, Ado – Ekiti, Nigeria https://orcid.org/0000-0002-2864-9472
  • Tayo Dorcas Obasanya Computer Engineering Department, Faculty of Engineering, Ekiti State University, Ado – Ekiti, Nigeria
  • Oluwaseyi Olawale Bello Computer Engineering Department, Faculty of Engineering, Ekiti State University, Ado – Ekiti, Nigeria

DOI:

https://doi.org/10.54536/ajise.v5i2.7481

Keywords:

Energy Efficiency, Fuzzy Logic, Medium Access Control, WiNoC

Abstract

Wireless Network-on-Chip (WiNoC) has gained significant attention as a viable solution for interconnecting multi-core Systems-on-Chip (SoCs) due to its advantages in power efficiency, scalability, and flexibility. Advancement in WiNoC technology with increase in the number of radio hubs, requires an effective medium access control (MAC) strategy to enhance energy efficiency and improve the entire system performance. However, to efficiently managing the wireless medium in a WiNoC is a challenging task due to its shared nature and susceptibility to interference. Addressing these challenges, researchers have explored various MAC mechanisms, among is the implementation of the fuzzy logic MAC mechanism, that has shown promising results. A key limitation of the existing MAC techniques in WiNoC architectures is the lack of mechanisms to reduce energy consumption by dynamically adjusting the data transmission rate of the radio hubs. This paper proposed a Fuzzy Logic Medium Access Controller Mechanism in WiNoC (FLMAC-WiNoC) that uses a fuzzy logic controller that dynamically changes the data transmission rate according to the traffic characteristics. A cycle-accurate noxim simulator was used for the experiments and the results shows that FLMAC-WiNoC reduces energy consumption by 48.5%, reduce latency by 25%, improve channel utilization by 88.5% and throughput by 1.2 Gbps compared to existing techniques.

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Author Biography

  • Ayodeji Ireti Fasiku, Computer Engineering Department, Faculty of Engineering, Ekiti State University, Ado – Ekiti, Nigeria

    Associate Professor in Computer Engineering

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Published

2026-06-29

How to Cite

Fasiku, A. I. ., Obasanya, T. D. ., & Bello, O. O. . (2026). Fuzzy Logic Medium Access Controller Mechanism in WiNoC (FLMAC-WiNoC): Ehancing System Performance and Improve Energy Efficiency. American Journal of Innovation in Science and Engineering , 5(2), 83-94. https://doi.org/10.54536/ajise.v5i2.7481

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