Wireless Sensor Networks (WSNs) are emerging as a new area of research in wireless technology. WSN is constructed with more number of inexpensive, tiny sized and battery powered sensor nodes. One of the fundamental challenges for WSN is to achieve reliability with the security of transmitted data in a vulnerable environment against malicious nodes. Many methods are developed by the existing research works but still it has research gap with respect to data transmission and energy consumption. To solve that problem this research methodology proposed Energy - Aware Optimal Clustering and Secure Routing (EAOCSR) approach. Here, the network deployment process is initially carried out and then the cluster is formed by SDM - FCM. From the clustered sensor nodes the cluster head is selected using LEVO approach. Then, nodes attributes are extracted; based on the extracted attributes the best path is selected using BDSAF - DLNN and by the selected path the data is securely transferred to the base station using LIECC algorithm. In experimental analysis, the proposed approach attains better performance than the existing research approaches.

Energy-Aware Optimal Clustering and Securing Routing (EAOCSR), Standard Deviation and Manhattan based Fuzzy C - Means Clustering (SDM-FCM), Lion - Energy Valley Optimizer (LEVO), Beta Distribution and Scaled Activation Function based Deep Learning Neural Network (BDSAF - DLNN), and Log based Improved Elliptic Curve Cryptography (LIECC).