Energy efficient modeling of wireless sensor networks using Quantum physics

Modeling of wireless sensor networks becomes cumbersome when uncertain conditions of the network arise. A Wireless Network consists of a web of networks where thousands of pairs are connected to each other wirelessly. A critical issue in the wireless sensor networks in the present scenario is the limited availability of energy within network nodes. Therefore, making good use of energy is necessary in modeling a sensor network. In this paper we have tried to propose a new model of wireless sensors networks using the concepts of atomic bonding on a three-dimensional plane using the percolation model, a kind of random graph in which edges are formed between the neighbouring nodes. The concepts of Electromagnetics, Wave Duality and Energy model of an atom, Quantum Mechanics are linked with wireless networks by giving an approximate analysis of the various theories. A model is prepared in which the positioning of nodes of sensors are decided according to the analysis done with respect of atomic bonding concepts. Also the model is made more efficient regarding the energy consumption, power delivery etc. using the concepts of graph theory concepts, probability distribution.