Research On Charging Strategy Of Wireless Rechargeable Sensor Network

In recent years,WSN(Wireless Sensor Network)has developed rapidly.Wireless sensor networks have been gradually out of the laboratory,widely used in environmental monitoring,construction equipment,animals,plants and human body tracking and monitoring.Sensor nodes usually need to ensure network connectivity,coverage,and other requirements while completing monitoring tasks,hence the sensor nodes need energy supplement.However,due to the small size of a typical sensor node,the capacity of the battery is small.So,how to overcome the energy limitation is a problem that we need to pay attention to.WRSN(Wireless Recharging Sensor Network)cooperates with wireless charging technology and charging planning.Useing mobile charging nodes to actively provide energy supplement services for sensor nodes,providing an effective solution to the energy problem of sensor networks.This thesis first briefly describes the requirements for WRSN on the premise of WSN as a background,and introduces the research status of WRSN.Then,common wireless charging technologies and applications is described,including introduction of charging device and several types of wireless charging methods based on WRSN.In the face of unbalanced energy consumption network,this thesis selects the on-demand charging planning method and the single mobile charging node network model.This thesis proposes a study of WRSN on-demand charging planning under a network with clustering as the background.First,the charge request is sent in clusters,the mobile charging device then selects the charging request according to the distance priority.Finally the mobile charging device then performs energy supplementation on nodes in the clusters.This thesis also describes the universality of unbalanced networks and the limitations of single-factor priority decision-making charging planning methods.It proposes a study of WRSN on-demand charging planning based on multi-priority decision.This thesis uses the distance and the number of emergency charging nodes in the cluster to affect the decision of the next charging cluster.Through simulation comparison with other methods,it is proved that the proposed method of this thesis can reduce the charging delay and improve the network performance in single priority network.In a multi-priority decision-making network,the proposed method of this thesis improves the working efficiency of the mobile charging device and reduces the network overhead.