EEECT-IOT-HWSN: The Energy Efficient-Based Enhanced Clustering Technique Using IOT-Based Heterogeneous Wireless Sensor Networks

IoT refers to the interconnection of electronic devices, machines, and physical objects in our environment. Heterogeneous wireless sensor networks (HWSNs) are among the promising wireless technologies that play an important role in monitoring remote areas. The clustering algorithm reduces energy consumption by using a key technique. It increases the network's scalability and lifetime. Wireless sensor networks with heterogeneous characteristics should be designed with energy-efficient clustering protocols. In this paper, design a novel EEECT-IOT-HWSN technique for the three-tier heterogeneous networks. The EEECT-IOT-HWSN technique has used the modified threshold formula for the cluster head selection based on the combination of the energy and distance of the SNs. The performance of the proposed model shows the higher residual energy, less dead SNs, and higher network lifetime when compared with the ADV-LEACH1 (HETRO), and ADV-LEACH1 (HOMO) technique.