An Experimental Analysis of Star Topology based QoS enabled Data Communication over WSN using IoT Assisted Machine Learning Strategy
Timothy Dhayakar Paul, Vimalathithan Rathinasabapathy · 2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA) · 2021
This paper is intended to design a novel methodology to provide a strong support to the client and server entities to communicate the data around the globe without any struggles and attain maximum level of Quality of Service in communication. By applying the logic of the latest technologies such as Machine Learning and Internet of Things, a lot of benefits can be attained in an easy way. The logic of machine learning is applied over the proposed approach to provide a strong prediction to place the exact number of active nodes in the communication as well as the location of the nodes positioned into the WSN environment is traced accordingly and monitored clearly for further traces. The proposed approach utilizes the benefits of machine learning strategy by implementing a new algorithm called Deep Neural Network Prediction (DNNP), in which it is derived from the classical Neural Network learning principle. By applying the logic of the proposed DNNP algorithm, it is easy to predict the number of nodes required to perform the successful and QoS enabled communication between source and destination entities without any interference. The proposed approach of DNNP follows the Start Network topology-based communication strategy, in which the star topology is a networking architecture in which each component of the system is connected to a centralized hub (often called a switch). The connection of these networking segments to the center constituent is graphically displayed by a star. The term “star topology” is also used to refer to a network segment. For all by applying the latest technologies over the proposed approach to assure the QoS enabled communication standards in a good way with proper resistance in data transmissions over the WSN environment.