Distributed Environment Monitoring

Abstract

The Wireless Sensor Networks have gained tremendous popularity due to the vast potential of the sensor networks to interconnect the physical world with the virtual world. Since these devices depend on battery power and may be placed in harsh and inaccessible environments replacing them is a very difficult task. Thus, improving the energy of these networks is a very important task. The thesis provides methods for clustering and cluster head selection to WSN to improve energy efficiency. It presents a comparison between the different methods on the basis of the network lifetime. It proposes a modified approach for cluster head selection with good performance and reduced computational complexity .In addition it also proposes a modified version of Dijkstra’s algorithm for data routing and Minimum Volume Enclosing Ellipsoid for data representation to reduce amount of data.