In　this　paper,　we　proposed　a　multi-objective　optimization　model　of　bandwidth　resources　in　the　fiber　Bragg　grating　(FBG)　sensor　network　which　is　applicable　to　asymmetric　overlapping　spectra.　Then,　the　non-dominated　sorting　genetic　algorithm　II　(NSGA-II)　was　used　to　obtain　the　Pareto　front　of　bandwidth　resources,　from　which　appropriate　solutions　were　selected　to　determine　the　Bragg　wavelength　allocation　at　each　FBG　node.　Experiments　show　that　this　method　can　save　at　least　40%　of　the　bandwidth　of　the　light　source.　While　improving　the　multiplexing　ability　of　the　sensor　network,　it　minimizes　the　overlapping　of　adjacent　FBG　spectra,　maintaining　high　measurement　accuracy.　This　method　provides　a　reference　for　the　allocation　requirements　in　practical　engineering　applications.　©　2021,　Chinese　Lasers　Press.　All　right　reserved.