In Wireless Sensor Networks (WSNs), energy efficiency, secure data transmission, and reduced latency are critical for enhancing network lifetime and reliability. Previously several optimization algorithms were used for optimal cluster head selection, but they do not provide sufficient results and still there are challenges in secure data transmission. To overcome these challenges this work is motivated. In this manuscript, a Multi-objective CH selection with Scheduling based energy efficient secure transmission in WSN using Siamese graph convolutional Mantis Search attention network (EST-SGCMSAN) is proposed. Initially, the cluster head is selected using the novel multi-objective CH selection strategy using the Red Piranha Alpine Skiing Optimization algorithm (RPASOA), designed to minimize ener gy usage and reduce transmission delay. Furthermore, an advanced sleep scheduling mechanism with duty cycling is introduced, leveraging a Siamese Graph Convolutional Mantis Search Attention Network (SGCMSAN) for reliable and energy-efficient scheduling. To address the security challenges inherent in sensor nodes, which often face constraints in processing power, storage, and energy, an AES-based signature generation approach utilizing White Box Cryptography (WBC) is implemented. This method ensures secure data transmission while maintaining low computational overhead. The proposed system aims to significantly extend the network lifetime of WSNs through optimized CH select
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