A mobile ad hoc network (MANET) is a self-sufficient network made up of a collection of hosts that communicate with one another using wireless links. The inherent mobility of MANET nodes makes conventional network operations such as clustering and routing challenging. Erroneous CH selection, however, can result in imbalanced energy usage; therefore, it is essential to be careful while making a choice. The network's lifespan can degrade due to uneven energy usage between nodes. As a result, in this study, time-consuming delays were reduced by choosing cluster heads (CH) with the help of Trees Social Relations Optimization (TSRO). The suggested method aims to cluster nodes and select optimal routes for dependable and low-energy data transfer. Following the establishment of CH, the Leader Dolphins Herd Algorithm (LDHA) was used to pick the Super CH (SCH), which then collected data from all CHs and transmitted it to the home base (BS). The data transmission is via hop routing. The parameters used to evaluate the proposed LDHA methodology's performance are delay, delivery ratio, energy consumption (EC), network lifetime (NLT), and throughput. The performance of this work is compared to more established methods.

Trees social relations optimization, Super-Cluster Head, Routing, Energy Consumption, Network Life Time, Leader Dolphins Herd Algorithm.