Optimal Grouping and Belief based CH selection in mobile ad-hoc network using Chunk Reliable Routing Protocol

Transferring ecological data to a mobile ad-hoc network (MANET) is a hard issue. Bunching is one of the advances used to control the transmission of information across intuitive hubs. Each gathering of hubs has at least one chose group head(s), where all bunch heads are associated with one another and are the spine of the information transmission. In addition, cluster leaders can maintain long-term communication with limited energy sources. Idle terminals and bunch go through checking energy quicker and lessen stage span. For this situation, picking the best bunch scenes with dependable data plays an significant part in the general introduction. To address those issues, this paper proposes an Chunk top path selection (CTPS) using swarm intelligence and hybrid meta-heuristic techniques. The cluster head(s) collection was base on an competent faith replica using Enhanced Monkey inspired optimization (EMIO) algorithm. Then optimal path has found with the help of improved pattern search (IPS) algorithm. Therefore, the purpose of Mobile Ad-Hoc Network (MANET) that uses practical steering procedure is additional trust compare to the hastyone. This method aims to select reliable permanent cluster heads (i.e.) that can provide secure communication through communication nodes. NS-2 simulation demonstrates as to our specific program outperforms obtainable methods in conditions of performance, power consumption, latency, pocket overhead, and pocket delivery speed.