Weighted cluster in mobile ad hoc network using enhanced long short-term memory-based squid game optimizer concept

A collection of autonomous frameworks will most likely make up a wireless mobile network. They are not solely dependent on a wireless network with no established infrastructure. In the mobile ad hoc network, it is highly challenging to safeguard the viability of the cluster head (CH) within a cluster; therefore, this research provides a big scope for routing utilizing enhanced long short-term memory–squid game optimizer (ELSTM-SGO). The quality of service attribute of the nodes determines which CH is chosen within them. How long the CH will hold will depend on the weight applied to it. The best CH is chosen using an ELSTM-SGO routing method within a cluster, and the best CH will improve the routing. The three procedures that make up the developed ELSTM-SGO protocol are SGO, CH selection, and cluster's gateway. The wireless system's energy consumption, buffer size, packet delivery ratio, routing overhead and end-to-end delay throughput represent the characteristics used in the suggested approach. Weighted clustering approach is evaluated on the system. According to the results of the experimental research, ELSTM-SGO yields superior results for preserving the resiliency of the CH.