The　proliferation　of　devices　and　data　in　the　Industrial　Internet　of　Things　(IIoT)　has　rendered　the　traditional　centralized　cloud　model　unable　to　meet　the　stringent　requirements　of　wide-scale　and　low　latency　in　these　IIoT　scenarios.　As　emerging　technologies,　edge　computing　enables　real-time　processing　and　analysis　on　devices　situated　closer　to　the　data　source　while　reducing　bandwidth　requirements.　Blockchain,　being　decentralized,　could　enhance　data　security.　Therefore,　edge　computing　and　blockchain　are　integrated　in　IIoT　to　reduce　latency　and　improve　security.　However,　the　inefficient　data　transmission　of　blockchain　leads　to　increased　transmission　latency　in　the　IIoT.　To　address　this　issue,　we　propose　a　cluster-based　data　transmission　strategy　(CDTS)　for　blockchain　network.　Initially,　an　improved　weighted　label　propagation　algorithm　(WLPA)　is　proposed　for　clustering　blockchain　nodes.　Subsequently,　a　spanning　tree　topology　construction　(STTC)　is　designed　to　simplify　the　blockchain　network　topology,　based　on　the　above　node　clustering　results.　Additionally,　leveraging　clustered　nodes　and　tree　topology,　we　propose　a　data　transmission　strategy　to　speed　up　data　transmission.　Simulation　experiments　show　that　CDTS　effectively　reduces　data　transmission　time　and　better　supports　large-scale　IIoT　scenarios.　IEEE