Recently,　the　expansion　of　the　Internet　of　Things　(IoT)　and　the　amount　of　data　generated　by　intelligent　devices　have　increased　sharply.　However,　centralized　cloud　computing　paradigms　are　no　longer　the　best　solution　for　managing　these　huge　amounts　of　data　processing　and　storage.　In　order　to　meet　the　application　requirements　of　the　IoT,　the　future　network　technology　will　be　fused　and　developed　on　the　basis　of　the　existing　technology.　This　paper　proposed　a　wireless　sensor　networks　(WSN)　architecture　with　fog　computing　to　meet　the　design　principles　of　IoT　devices　at　the　edge　of　the　network.　The　proposed　model　is　designed　to　support　high　availability,　high　scalability　and　low　latency.　Furthermore,　localization　technology　is　one　of　the　key　technologies　of　WSN,　and　it　is　also　a　supporting　technology　for　many　IoT　applications　Aiming　at　the　localization　problem　in　WSN,　we　proposed　a　weighted　factors　localization　algorithm.　The　basic　idea　of　the　proposed　algorithm　includes　general　localization　and　specific　nodes　localization.　We　evaluated　the　performance　of　our　proposed　algorithm　and　compared　it　with　the　other　two　algorithms.　The　simulation　results　show　that　the　proposed　algorithm　performs　better　than　other　algorithms　in　localization　performance.