The intelligent energy harvesting management policies in wireless sensor networks with directional water-filling algorithm

Abstract

This work considers an simulated energy management for energy harvesting sensor nodes. There are four energy management, that is Optimal Offline Policy, Optimal Online Policy, Constant Water Level Policy, Adaptive Energy WF Policy, and Time-Adaptive Energy WF Policy. Energy harvest source that used in this paper is the sun energy. Optimal energy management is energy management that is able to keep maintaining the availability of energy in each time slot and generates optimal throughput. Work scenario for sensor nodes in this simulation is as wireless nodes. The results are extended to include models where differences in propagation paths cause multipath components of transmitted signal arrives at receiver via different propagation paths and different times. Difference in arrival times at receiver causes received signal interference occurs, which would give rise to phenomenon of fluctuations in amplitude and false of received signal, and raises fundamental phenomenon called Fading. Fluctuations in signal amplitude that occurs is random and can not be determined in advance, and when are incurred.