Energy　harvesting　wireless　sensor　network　(EH-WSN)　uses　a　large　number　of　sensor　nodes　to　conduct　environmental　perception,　data　collection　and　data　transmission　through　wireless　links.　However,　the　battery　capacity　of　traditional　energy　harvesting　wireless　sensor　is　limited.　In　this　paper,　a　kind　of　energy　collection　wireless　sensor　of　dual-battery　system　is　studied,　and　a　centralized　energy-aware　routing　algorithm　based　on　reinforcement　learning　is　proposed.　Considering　the　energy　of　the　overall　link,　each　source　node　chooses　a　good　path　at　the　beginning　of　data　transmission.　After　all　the　data　is　transmitted　to　the　sink　node,　it　selects　the　path　according　to　the　whole　network　state,　and　learns　several　times　until　it　finds　the　best　path　choice.　The　simulation　results　show　that　the　end-to-end　delay　of　this　protocol　is　lower　than　that　of　random　packet　forwarding.　©　2019　Published　under　licence　by　IOP　Publishing　Ltd.