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

dc.contributor.author	Nur, Yeasin Muhammad
dc.date.accessioned	2017-03-20T04:09:32Z
dc.date.available	2017-03-20T04:09:32Z
dc.date.issued	2/1/2016
dc.identifier.uri	http://dspace.ewubd.edu/handle/2525/2109
dc.description	This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh	en_US
dc.description.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.	en_US
dc.language.iso	en_US	en_US
dc.publisher	East West University	en_US
dc.relation.ispartofseries	;CSE00083
dc.subject	Wireless sensor network, Quantum Inspired Evolutionary Algorithm	en_US
dc.title	Grade Diffusion and Quantum Inspired Evolutionary Algorithm to Solve Fault Node Recovery Problem in Wireless Sensor Network	en_US
dc.type	Thesis	en_US