Design of Hybrid Energy Aware Cluster Based Multipath Routing Protocol in IoT Assisted Wireless Sensor Networks

In the past decade, the Internet of Things (IoT) has gained a significant research attention due to its ability to revolutionize the cyber and physical world. IoT makes physical items as intelligent objects, which will be capable of collecting, processing and managing the digital data. The communication of big data will be enabled by sensor nodes (SNs) in the IoT-based networks. The lifespan of the wireless sensor nodes is reducing due to the extreme consumption of transmission power. This research study designs and develops a novel Hybrid Energy Aware Cluster based Multipath Routing (HEACMPR) protocol in the IoT assisted WSN. The proposed HEACMPR technique primarily clusters the wireless nodes in the IoT assisted WSN and then selects the optimal route in the network. To obtain this, the proposed HEACMPR technique utilizes the sparrow search algorithm based clustering (SSO-C) technique to select the set of Cluster Heads (CHs) and produce clusters. For route selection, Aquila optimization algorithm based routing (AOA-R) approach is applied to effectually discover the routes to the destination. The simulation results of the HEACMPR technique is examined under different set of performance measures. The extensive outcomes showed the efficiency of the HEACMPR technique over other measures.