In wireless rechargeable sensor networks,the reasonable arrangement of charging scheduling is the key to ensuring the survival rate of network nodes.To solve this problem,the paper was based on a clustered wireless sensor network,dividing nodes into important nodes and ordinary nodes,which were charged by two mobile charging equipments(WCEs)collaborate in real-time on demand.Based on the cur-rent energy of mobile charging equipment,an adaptive charging strategy was proposed to adjust the char-ging method according to the urgency of the node's energy demand when there were too many charging re-quests.The simulation results show that the proposed algorithm performs better than other scheduling schemes in terms of the number of surviving nodes,total residual energy,mobile loss ratio and the occur-rence time of the first dead node.This algorithm provides a solution for the uncertainty of charging tasks and the collaborative problem of multiple charging equipment in practical application scenarios,which ex-tends the life of the network to a certain extent.
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