Grade Diffusion and Quantum Inspired Evolutionary Algorithm to Solve Fault Node Recovery Problem in Wireless Sensor Network

Abstract

Wireless sensor network (WSN) consists of spatially dispersed and dedicated sensors for monitoring and recording the physical conditions of the environment and organizing the collected data at a central location. In most of the case wireless sensor network (WSN) measure environmental conditions such as temperature, sound, pollution levels, humidity, wind speed and direction, pressure, etc. In this paper we applied fault sensor node recovery algorithm to increase the life time of a WSN when few sensors are damaged or shut down due to technical problem or low level of battery power. This algorithm is based on the Grade diffusion algorithm combined with the quantum inspired evolutionary algorithm.