Wavelength　division　multiplexing　(WDM)　fiber　Bragg　grating　(FBG)　sensor　network　has　a　multiplexing　bottleneck　due　to　the　limitation　of　source　bandwidth　in　engineering　applications.　The　multiplexing　capability　of　the　entire　network　can　be　improved　by　allowing　a　certain　degree　of　overlap　between　adjacent　FBG　work　area.　However,　the　overlapping　spectrum　can　also　reduce　the　wavelength　detection　accuracy.　Therefore,　it　is　necessary　to　take　into　account　the　network　multiplexing　performance　and　detection　accuracy　in　the　design　of　FBG　sensor　network.　In　this　paper,　a　multi-objective　bandwidth　resource　optimization　model　for　overlapping　spectrum　FBG　sensor　networks　is　proposed　and　the　Pareto　front　is　obtained　by　using　the　multi-objective　optimization　algorithm　NSPSO,　from　which　the　appropriate　solution　was　selected　to　allocate　the　initial　Bragg　wavelength　of　each　FBG　node.　Experimental　results　show　that　this　method　can　effectively　improve　the　bandwidth　utilization　of　source　in　FBG　sensor　network　while　ensuring　the　detection　accuracy.　©　2022,　The　Author(s),　under　exclusive　license　to　Springer　Nature　Singapore　Pte　Ltd.