Treffer: Fuzzy logic adaptive clustering with ML-based collision avoidance for wireless networks.

Wireless networks face significant challenges in achieving optimal routing while minimizing energy consumption and preventing packet collisions. This paper proposes an intelligent hybrid framework that integrates fuzzy logic-based adaptive clustering with machine learning (ML)-driven collision avoidance to enhance network efficiency and stability. The proposed model employs fuzzy logic to enable cluster head selection and network organization based on uncertain parameters such as signal strength, transmission distance, and residual energy. By incorporating an adaptive clustering mechanism, the network achieves flexible and self-organizing routing structures. Furthermore, ML algorithms leverage historical collision records and real-time link-state information to predict and prevent collision incidents, thereby improving data transmission reliability. The routing protocol dynamically adapts to network conditions to ensure energy-efficient paths without compromising data quality. Experimental evaluations demonstrate that the proposed framework significantly reduces energy consumption, minimizes collision occurrences, and extends network lifetime compared to conventional routing protocols. This approach offers a scalable and intelligent solution for modern wireless communication systems. [ABSTRACT FROM AUTHOR]

Copyright of Sādhanā: Academy Proceedings in Engineering Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)