Data collection maximization of EH-WSN using mobile sink

In this paper a novel approach of data collection using mobile sink is considered for energy harvesting wireless sensor network. Data collection through mobile sink conserves the fast depletion of energy so energy hole problem can be reduced by using this. Sensor are powered by energy renewable resources and depleted along a path. Whenever we design a network, time varying characteristics of EH poses a great challenge. So in this paper we formulate a network that deals with multi-rate transmission and parallel transmission-time scheduling. So for real distributive network where each sensor has different transmission power, an independent component gauss seidel algorithm (ICGS) is devised for the optimal path selection and data selection. In addition a special case is also considered where each sensor has same transmission power. We finally conduct extensive experiments by simulation in MATLAB, to evaluate the performance of the algorithm.