Modeling of Wireless Sensor Networks in an Energy-Efficient Manner Using Quantum Physics

Abstract

A Wireless Sensor Networks (WSNs) consists of huge number of Sensor Nodes (SNs) which communicates to each other by wireless technologies. Modelling of WSN becomes unmanageable when uncertain conditions of the network occur. A significant issue ofWSN in the present scenario is the inadequate availability of energy within SNs. Therefore making optimal use of energy is essential in modelling a WSN. In this paper, we have proposed a novel model of WSN by using the concepts of atomic bonding on a 3D plane using a percolation model, which is a random graph in those edges are formed between the neighbouring SNs. We have related the Energy model of an atom, concepts of Electromagnetics, Quantum Mechanics and Wave Duality to WSN by doing an approximate exploration of the severalprinciples and theories. The positioning of SNs are determined by the model, which is developed by the investigation and analysis done wrt atomic bonding theories. Our model developed by using the concepts of graph theory and probability distribution will be more efficient in terms of energy consumption and power utilisation.