In　the　internet　of　things　application,　the　data　collected　by　the　underlying　sensor　network　is　the　basis　of　the　upper　decision　and　the　foundation　of　all　applications.　If　the　collected　data　itself　is　problematic　and　untrustworthy,　this　will　make　the　upper　level　of　data　protection　and　application　a　castle　in　the　air.　In　order　to　solve　the　problem　of　untrustworthy　data,　a　trustworthy　data　collection　scheme　based　on　mobile　edge　nodes　is　proposed.　Through　the　evaluation　of　the　node,　the　trust　value　of　the　node　is　used　for　path　selection,　and　the　mobile　edge　node　is　used　as　a　mobile　element　to　access　the　trustworthy　cluster　head　node,　thereby　achieving　efficient　and　reliable　data　collection.　Theoretical　analysis　and　extensive　simulation　experiments　are　carried　out　on　the　proposed　trustworthy　data　collection　algorithm　based　on　utility　value　(UTDC).　The　experimental　results　show　that　the　proposed　trustworthy　data　collection　algorithm　based　on　utility　value　can　avoid　untrustworthy　nodes,　effectively　reduce　network　delay　and　prolong　the　life　cycle　of　the　network.　©　Copyright　2019,　Institute　of　Software,　the　Chinese　Academy　of　Sciences.　All　rights　reserved.