Position　information　is　vital　for　wireless　sensor　networks　in　many　applications.　In　this　paper,　based　on　the　barycentric　coordinate　system,　we　incorporate　a　term　constrains　sensors　to　remain　the　intrinsic　structure　revealed　by　range　measurements　between　neighboring　nodes　into　the　STRESS　function,　which　is　the　cost　function　optimized　by　the　distributed　weighted-multidimensional　scaling　algorithm　(dwMDS).　By　minimizing　the　modified　cost　function,　we　derive　a　distributed　localization　algorithm　called　the　Multidimensional　Scaling　and　Barycentric　Coordinates　based　Distributed　Localization　Algorithm　(MDS-BC-DLA).　Experimental　results　on　four　different　types　of　WSNs　show　MDS-BC-DLA　outperforms　dwMDS.　©　2011　IEEE.