Structural　health　monitoring　(SHM)　is　a　kind　of　data-intensive　applications　for　wireless　sensors　networks,　which　usually　requires　high　network　bandwidth.　However,　the　bandwidth　of　traditional　single-radio　single-channel　(SR-SC)　WSN　is　quite　limited.　In　order　to　meet　the　requirement　of　structural　monitoring,　multi-radio　multi-channel　(MR-MC)　WSN　is　emerging.　In　this　paper,　we　address　the　optimal　data　collection　problem　in　MR-MC　WSN　by　modelling　it　as　an　integer　linear　programming　problem.　Combining　the　advantages　of　the　particle　swarm　optimization　(PSO)　algorithm　and　flower　pollination　optimization　(FPA)　algorithm,　we　propose　a　new　hybrid　algorithm　BFPA-PSO　to　solve　the　optimization　problem　under　the　constraint　of　time　slot　and　multi-power　multi-radio　multi-channel　(MP-MR-MC).　Theoretical　analysis　and　simulation　experiments　are　carried　out　and　the　results　show　that　the　proposed　method　has　good　performance　in　improving　network　capacity　as　well　as　reducing　energy　consumption.　©　Springer　Nature　Switzerland　AG　2018.