An Efficient Clustering Framework with An Optimized CPSO-SCFO Method for Stabilized and Secured Data Transmission
Framing a Mobile ad-hoc network (MANET) has various inbuilt complexities that lack Throughput and pack delivery ratio. Clustering based MANET improve the management of the network in terms of easy route construction and routing table size. However, the cluster head (CH) faces more load mainly due to inter and intra-cluster formation. This cause rapid exhausting of Throughput and CH death, leading to network division followed by reducing MANET throughput and Packet Delivery Ratio (PDR).To perform effective prediction of malicious nodes such as Denial service attack (DOS) and data transfer with end to end delay loss and high PDR and Throughput, the proposed introduced a novel Clustering Practical Swarm Optimization- Shortest Distance Calculation by Central Force Optimization (CPSO –SCFO) method. The proposed framework utilize the Particle Swarm Optimization (PSO) algorithm for the selection of CH based on its energy level, mobility, and trust level. The study predicts the malicious node by the trust model estimation method. Following that shortest routing path was detected with the central force optimization (CFO) method. It helps to achieve network availability without disturbance and additional security. The CPSO-SCFO method outperforms the existing methods such as EESSC, EWCA, and MEESC in terms of low modification in CH over simulation time and speed. The CPSO-SCFO framework experienced higher efficiency of PDR 99%, Throughput of 79%kbps and low end to end delay of 15ms and packet loss results of 9%, compared with the AOMDV and modified AOMDV.
Keywords: MANET, cluster head, malicious node, CPSO-SCFO, PSO, shortest routing path
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