Clustering-based routing protocols are mainly used for extending the node’s existence in Heterogeneous Wireless Sensor Networks (HWSNs). Several clustering protocols have been designed for splitting the network into different clusters and choosing the Cluster Heads (CHs) for each cluster effectively. Among those, a Traffic-Aware Reliability-based Enhanced Technique for Ordering of Preference by Similarity-Ideal-Solution (TARE-TOPSIS) protocol can determine the probability of every node is considered as CH by considering traffic load, initial and residual energy of each node in the multi-heterogeneity scenarios. It considers only coverage and energy for determining the amount of cluster and the corresponding probabilities. Nonetheless, noise and data transmission rates have a high effect on information or data packets transmitted between nodes and the Base Station (BS). The noise interference in the communication can let few nodes link to further far-away CHs and exploit the multipath amplification. The multipath diversion consumed additional energy than usual energy. Therefore in this article, an Optimized Clustering TARE-TOPSIS (OC-TARE-TOPSIS) protocol is presented for increasing the energy efficacy and the network lifespan by determining the optimal clusters. Initially, the network model is designed which characterizes the transmission environment noise. After, a multipath energy model incorporating the probability of data delivery is determined. Also, the optimum amount of clusters and optimal probability are derived to decide the amount of CHs in noise-prone multi-heterogeneity transmission scenarios. Energy-efficient data transfer from CHs to BS is achieved by the contribution of fewer nodes in the noisy networks. At last, the simulation results demonstrate the OC-TARE-TOPSIS realizes better efficiency compared to the conventional protocols in the aspect of different evaluation metrics.