Ranking Based Routing Protocol for Residual Energy Estimation in Wireless Sensor Network Based IoT Network

Internet of Things (IoT) is widely involved in environmental monitoring. IoT network has a limited energy supply which impacts the network’s lifetime. At present, limited energy is a challenging factor due to limited energy availability. IoT performance is improved with the RPL routing protocol for effective route establishment. With an effective energy harvesting scheme IoT network, residual energy can be improved. Typically, energy harvesting with conventional RPL routing protocol is ineffective. To withstand the limitation associated with energy harvesting in IoT networks with the incorporation of RPL routing is essential. To achieve this, this paper presented an Energy Harvesting Ranked Whale optimization (EHRWO) is developed. Initially, the proposed model utilizes the optimal route establishment with EHRWO with improved security. The operation of EHRWO is performed for static and dynamic operation of the network. The developed work estimates the node energy, harvest energy, routing performance, and distance. Based on the optimization of the whale optimal path is estimated for the transmission of data. With a ranking based approach optimal path for data transmission will be computed. The simulation results expressed the proposed work performance of the parameters such as energy consumption and packet delivery ratio.