Behavioral Based Uncertainty Handling in Energy Depletion Reduction (BUEDR) through Alleviation of Holes in an IoT Enabled Wireless Sensor Networks

Abstract

In current era the usage of Internet is gradually improvising from Internet of People to an Internet of Things (IoT). Through the gateway, Wireless Sensors Networks (WSN) are integrating things to the Internet. But there are two major elements which affect the performance of the network, the presence of void hole and energy hole. Due to the unavailability of forwarded nodes, a particular region may suffer from void hole. In addition, if the load of data is not correctly balanced among the sensor nodes, then energy hole occurs. To overcome these issues, the proposed work uses a threefold behavioral based uncertainty handling transmission policy. In the first fold, the area of WSN is divided using voronoi diagram, which resolves the geometric relationships between sensors and to distribute transmission uniformly over the network area. The second fold alleviates energy hole vagueness in an adversarial environment by gathering information about the node denoted by intuitionistic fuzzy domain based cluster head selection to enhance energy dissipation. The third fold is optimal route selection for which fuzzy fish swarm optimization is adopted. From the simulation results, it is observed that the energy consumption achieves its superiority by hole alleviation and thus maximizes the network life time.