There　are　many　heterogeneous　sensing　nodes　in　the　sensing　layer　of　the　Internet　of　Things,　and　the　amount　of　data　transmission　is　huge,　which　puts　high　requirements　on　the　allocation　of　network　bandwidth.　At　the　same　time,　untrusted　sensing　nodes　maliciously　invade　network　resources.　Therefore,　how　to　confirm　whether　a　sensing　node　is　trusted　and　reasonably　allocate　network　resources　is　an　urgent　problem　to　be　solved.　To　resolve　this　issue,　this　paper　proposes　a　sensing　network　resource　allocation　model　based　on　trusted　groups.　Through　the　sensing　node　computing　environment　and　behavior　measurement,　we　can　identify　and　exclude　untrusted　nodes,　so　the　trusted　group　can　be　built.　Then　the　network　resources　are　distributed　from　a　global　perspective.　Based　on　the　available　bandwidth　of　the　link,　a　network　resource　fusion　model　of　IPv4　and　IPv6　is　proposed.　On　this　basis,　a　global　network　resource　allocation　model　is　further　proposed.　Afterwards,　real-time　monitoring　of　data　transmission　behavior　ensures　data　security　during　transmission.　Simulation　experiments　show　that　this　mechanism　can　effectively　optimize　the　bandwidth　allocation　in　the　data　transmission　process　and　has　little　effect　on　the　running　efficiency　of　existing　network　applications.　At　the　same　time,　it　can　effectively　guarantee　the　trust　of　nodes　and　achieve　trusted　data　transmission.