Power backup density based clustering algorithm for maximizing lifetime of wireless sensor networks

WSNs consists several nodes spread over experimental fields for specific application temporarily. The spatially distributed sensor nodes sense and gather the information for intended parameters like temperature, sound, vibrations, etc for the particular application. In this paper, we evaluate the impact of different algorithms i.e. clustering for densely populated field application, energy backup by adding energy harvesting node in field, positioning energy harvesting node smartly in the field and also positioning the base station in sensor field to optimize the communication between cluster head and base station. The analysis and simulation results justifies that availability of power backup for cluster nodes using energy harvesting and positioning the energy harvesting node and also base station enhance the lifetime of sensor network fields. WSN with power backup density based clustering algorithm can be applied for many sensitive applications like military for hostile and remote areas or environmental monitoring where human intervention is not possible.