Wireless　sensor　networks　(WSNs)　have　been　widely　used　in　many　fields.　However,　it　is　difficult　to　detect　WSNs　performance　status　directly.　Therefore,　a　reasonable　network　performance　evaluation　system　can　help　to　detect　and　maintain　the　WSN,　so　as　to　ensure　the　normal　operation　of　the　wireless　sensor　networks.　However,　the　current　methods　for　performance　evaluation　of　wireless　sensor　networks　mainly　focus　on　a　single　subjective　evaluation　or　objective　evaluation,　with　a　certain　degree　of　one-sidedness.　Therefore,　this　paper　presents　an　objective　and　subjective　evaluation　model　based　on　the　entropy　weight　method　and　the　AHP　to　evaluate　the　throughput,　packet　loss　rate　and　transmission　delay　of　each　path　of　the　WSNs　synthetically.　According　to　the　experimental　results,　this　model　evaluates　the　network　quality　of　each　path　in　the　simulation　network　systematically,　which　not　only　reflects　the　difference　of　network　quality　among　different　paths,　but　also　provides　a　solid　theoretical　foundation　for　network　performance　optimization　and　promotion.