In　this　paper,　we　investigated　collaboration　energy　efficiency　with　mobile　edge　computing　(MEC)　mechanism　in　internet　of　things　(IoT),　which　is　a　challenge　issue.　In　order　to　prolong　the　lifetime　of　IoT,　we　adopt　dynamic　clustering　methods　to　improve　energy　efficiency　while　guaranteeing　energy　balance.　We　deign　the　sensor　selection　scheme　for　collecting　data　according　to　Pareto　optimality.　Concretely,　by　considering　the　reality　of　random　deployment　and　introducing　the　definition　of　node　density　for　IoT,　we　develop　a　Pareto　optimality　for　sensor　nodes　selection　in　terms　of　energy　efficiency.　Furthermore,　we　recruit　voluntary　mobile　devices　as　mobile　edge　computing　servers　to　offload　the　data　from　selected　sensor　nodes　in　the　cluster　and　process　them　to　the　estimate　the　data　state.　Simulations　demonstrate　the　efficiency　for　the　performance　on　energy　balance　in　terms　of　efficiently　prolonging　the　IoT　lifetime.　©　2021,　Springer　Nature　Switzerland　AG.