The　rapid　popularity　of　Internet　of　things　devices　makes　more　stable　device　energy　need　to　face　challenges,　which　has　led　to　wireless　sensor　network　energy　balance　problem　becoming　more　and　more　prominent.　To　meet　this　challenge,　a　multi-objective　wireless　sensor　network　energy　balance　model　is　described,　which　comprehensively　considers　the　energy　consumption　of　sensor　node　and　neighbor　node,　sensor　node　and　base　station.　Meanwhile,　an　improved　multi-objective　optimization　algorithm　based　on　NSGA-II　is　employed　to　address　the　described　model.　In　the　method,　the　clustering　mechanism　is　introduced　to　improve　the　pressure　of　selection　in　the　later　stage　of　the　algorithm.　To　verify　the　performance　of　the　algorithm,　a　wide　simulation　is　performed　by　comparing　it　with　other　advanced　methods.　And　the　experiment　results　show　that　our　method　has　a　good　performance　in　addressing　the　model.　©　2022,　Springer　Nature　Singapore　Pte　Ltd.