In wireless ad hoc networks, where conventional infrastructure is lacking, effective routing algorithms, security mechanisms, and energy efficiency are critical challenges. While existing cluster-based routing protocols demonstrate efficiency, the absence of a comprehensive approach for selecting cluster heads based on multiple parameters remains a gap. Addressing this multi-objective challenge is pivotal in optimizing cluster-based routing. Ant Colony Optimization (ACO) emerges as a key algorithm for path selection, while the integration of Log Likelihood Ratio (LLR) enhances route longevity and reliability. The proposed system introduces cluster-based region formation coupled with the selection of trusted cluster heads, enriching routing paths. It prioritizes paths with heavy weights and fewer links, optimizing efficiency. Implementation of the proposed system yields a notable increase in delivery ratio to 96% marking a significant advancement in wireless ad hoc network performance.