RF Energy Harvesting With Data Collection Approach Incorporating In WSN

Abstract

Renewable energy technology has become a promising solution to reduce energy concerns due to limited battery in wireless sensor networks. While this enables us to prolong the lifetime of a sensor network (perpectually), unstable environment energy source bring challenge in the design of sustainable sensor networks. In existing some renewable energy source like solar panels are used in which the implementation of solar panels is quite difficult. So we propose an adaptive energy harvesting management framework, Ginibre Point Process modeling, which exploits an application’s tolerance to quality degradation to adjust application quality based on energy harvesting conditions. And also charging the sensor node with the Radio Frequency (RF) signal that used for communication purpose in wireless sensor network. With additional we are implementing the data collection scheme based on the SenCar based Approach with moving Cluster Heads.