Hybrid Intelligent Fusion-Based Perspectives for WSN-IOT

Currently, numerous applications in modern life incorporate IoT (Internet of Things). The fundamental principle of IoT involves connecting various devices to the internet to access information. Among these devices are sensor nodes (SN) that utilize Wireless Sensor Networks (WSN) for internet connectivity. The SN's battery life will steadily decrease as it is communicating with the BS (Base Station). Several methods are suggested to lengthen the lifespan of the SNs. By using a hybrid technique that separates the entire WSN network into clusters and leverages the cluster head (CH) to cut down on communication between the IOT devices. The suggested hybrid model focuses on managing the WSN-IOT energy efficiently. The system enhances its energy efficiency during communication, which includes inter-cluster communication, intra-cluster communication, and communication with the BS. The proposed model utilizes M-LEACH, M-CS, and M-PSO algorithms in distinct stages. The network is divided into three levels: The first level concentrates on inter-cluster formation and CH selection using the M-LEACH. In the second stage, M-CS facilitates communication between multiple CHs and the BS. Finally, the M-PSO algorithm is employed based on the threshold of CH nodes for improved outcomes.