Optimized Energy Management Model on Data Distributing Framework of Wireless Sensor Network in IoT System

Abstract

Data Dissemination is an essential transmitting method for a sensor network to the end-users across any set of interconnected frameworks. WSN is often used within an IoT system, in other words. As in a mesh network, a wide collection of sensors can collect data individually and send data to the web via an IoT system through a router. The conventional defined solution for data dissemination in Wireless Sensor Networks (WSN) does not include the wide range of new applications built on the Internet of Things (IoT)systems. Hence, it is observed that searching for an appropriate transmission link while distributing data with optimized utilization of energy is a significant challenge in the IoT communication infrastructure. Therefore, in this paper, an Optimized Energy Management Model for Data Dissemination (OEM-DD) framework has been proposed to optimize energy during data transmission efficiently across all sensor network nodes in the IoT system. The efficiency of the data dissemination across an interconnected network has been achieved by introducing a Non-adaptive routing approach in which data is distributed effectively from a single source to various points. Besides, Non-adaptive routing involves the dispersed collaboration system and the priority task planning principle combined with an integer framework for the efficient energy processing and grouping of data in the sensor’s network. Optimization of the energy management model through Non-adaptive routing allows low power consumption and minimal energy usage for each sensor node in the IoT system to improve the transfer and handling of data in severe interruption. The experimental results show that the suggested model enhances the data transmission rate of 96.33% with less energy consumption of 20.11% in WSN, which is the subset of IoT systems.