The Strategy for Scavenging and Recovering the Battery Energy Based on Clustering Structure Wireless Sensor Network
Liu Wen-hu · Hu'nan Shifan Daxue xuebao. Ziran kexue ban · 2015
In order to improve the efficiency of ratio frequenly( RF) energy of the sensor nodes in wireless sensor network,a new strategy was proposed to handle the energy scavenging and recovering of battery. Based on a clustering network structure,the strategy utilized the influence of power supply nodes upon the RF energy available in the scavenging energy nodes to schedule different states of the battery. Through this,it was possible to remove useless transmitting nodes and to enhance the efficiency of RF energy. An improved Markov model was put forward to recover the battery power by using battery duty period,based on the nonlinear characteristic of battery and taking its saturate threshold state into account as well. The results showed that the gap between the values of measured energy and the recoveried energy is less than 5%. In addition,that the optimized node number of energy transfer around insearch nodes was found to be 5 by the simulation experiments. The results of the experiment and simulation showed that this new battery energy scavenging and recovering strategy can effectively extend the life cycle of sensor network.