Research On One-to-many WRSNS Energy Allocation Scheduling Model

Magnetic coupling resonant wireless power transfer technology is applied in wireless sensor networks to build Wireless Rechargeable Sensor Networks(WRSNs),which provides a new way to solve the problem of limited energy in wireless sensor networks.How to classify nodes into charging clusters according to the mode of power transfer when a one-to-multiple resonant mode of magnetic coupling is applied to the WRSNs,and how to divide charging group in the charging clusters according to the node energy transfer efficiency and node energy constraint,which are important to enhance the overall energy replenish efficiency of the WRSNs,reduce node mortality,extend the life of the network.Based on the analysis of the influencing factors of magnetic coupling resonant power transfer efficiency and the real-time energy information of nodes,to build a reasonable energy dispatch distribution within the charging clusters and between the charging clusters Model in the one-to-multiple charging mode wireless sensor network environment,the specific research works are as follows:Analyzing two major influencing factors based on the magnetic coupling resonant wireless power transfer technology:the relationship of power transfer efficiency between the distance and angle of the energy transfer coil,according to the two major factors and power transfer efficiency to analysis the feasibility of one-to-multiple charging conditions.According to the influencing factors of the power transfer efficiency and the residual energy of the nodes in the charging cluster,a method of dividing the charging group is proposed.In this thesis,the method is to divide the nodes whose charging time is within a range of charging time into a charging group,achieve the charging group nodes in a similar period of time,complete nodes energy replenishment tasks in the charging cluster.Aiming at the situation that the charging cluster be divided into multiple charging groups,combined with the residual energy and energy replenishment efficiency of the nodes,a SGSA algorithm(Static Grouping Sorting Algorithm)is proposed based on the throughput of charging nodes per unit time as an indicator to sort the charging groups.Based on the SGSA algorithm,taking into account the time-varying energy consumption of the charging group,the dynamic charging group scheduling is performed,a DGA algorithm(Dynamic Grouping Algorithm)is proposed according to the real-time residual energy of the charging group during the charging process of the charging group.The simulation results show that be divided into multiple charging groups in the charging cluster,the charging cluster task completion time is shorter,the charging efficiency is higher than non-dividing-group.The simulation comparison of SGSA algorithm and DGA algorithm show-that the DGA algorithm is more effective than the SGSA algorithm in energy scheduling when there are multiple charging groups in the charging cluster.Based on the GPSR routing architecture,the full coverage model of WRSNs networks is constructed,and the WRSNs networks are divided into charging clusters.Aiming at the situation that the charging request of multiple charging clusters,according to the positive and negative relations between the energy consumption factor,node type factor,charging cluster energy factor,charging group energy factor and Sencar distance factor of charging cluster and charging energy of charging cluster,a DSA(Dynamic Selection Algorithm)is proposed to determines the priority of charging clusters.The simulation results show that the DSA algorithm reduces the average moving distance of Sencar effectively,improves the performance of the Sencar,raises the energy utilization of the Sencar,reduces the average charging delay of charging clusters,improves the number of nodes in the WRSNs.