To　address　the　problem　of　difficulty　in　distortion　specttum　demodulation　of　fiber　Bragg　grating　(FBG)　based　sensing　networks,we　propose　a　wavelength　demodulation　technique　based　on　estimation　using　a　distribution　algorithm　(EDA).　We　construct　a　theoretical　function　of　distortion　spectrum　based　on　the　super　Gaussian　function　and　transform　the　wavelength　detection　problem　of　the　distorted　FBG　sensing　network　into　a　function　optimization　problem.　The　proposed　method　is　used　to　demodulate　the　distortion　spectrum　of　a　FBG　sensing　network　through　an　experiment.　The　results　denote　that　EDA　can　not　only　maintain　an　average　detection　accuracy　within　1　pm　even　when　the　spectrum　of　FBG　is　distorted　but　also　quantitatively　estimate　the　distortion　degree　of　FBG.　When　compared　with　the　traditional　peak　detection　methods,　the　proposed　method　can　effectively　identify　the　Bragg　wavelength　from　a　distortion　spectrum.　The　proposed　method　provides　a　novel　method　to　extend　the　service　life　and　enhance　the　reliability　of　an　FBG　sensor　network.　©　2019,　Chinese　Lasers　Press.　All　right　reserved.