Lifetime Optimization of a Single and Multiple Sinks Wireless Sensor Network Ensuring Maximum Coverage and Connectivity

Abstract

Wireless sensor network WSN consists of a large number of small sensing nodes capable of sensing any physical quantity like temperature humidity rainfall etc. WSNs have created new opportunities across the spectrum of human endeavors including engineering design and manufacturing monitoring and control of systems. Involvement of restrained resources in the deployment of WSNs makes it a subject of concern. So its usage needs to be energy efficient in order to maximize operational life of network. newlineEnergy efficient WSN is used to monitor the environment and warns for a mishappening occurring in future. A merging algorithm is proposed which minimizes the global energy usage by making sensing nodes to work in sleep and active mode. Merging outperforms the conventional networks energy usage by uniformly distributing the load of sensing in the nodes falling in the same sensing range. Another approach is to have efficient clustering without requiring the global knowledge of network by using the bottom-up called the Hierarchical agglomerative clustering HAC which consequently reduces the energy consumption to a great extent. newline newline