Article,

Energy Efficient Modeling of Wireless Sensor Networks using Random Graph Theory

(Eds.)
Int. J. on Recent Trends in Engineering and Technology,, 10 (2): 9 (January 2014)

Abstract

This paper deals with the discussion of an innovative and a design for the efficient power management and power failure diagnosis in the area of wireless sensors networks. A Wireless Network consists of a web of networks where hundreds 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 on a three-dimensional plane using the percolation model, a kind of random graph in which edges are formed between the neighbouring nodes. An algorithm has been described in which the power failure diagnosis is made and solved. The concepts of Electromagnetics, Wave Duality, Energy model of an atom is linked with wireless networks. A model is prepared in which the positioning of nodes of sensors are decided. Also the model is made more efficient regarding the energy consumption, power delivery etc. using the concepts of graph theory concepts, probability distribution.

Tags

Users

  • @idescitation

Comments and Reviews