The　Internet　of　things,　including　Internet　technology,　including　wired　and　wireless　networks.　In　order　to　study　the　influence　of　packet　loss　on　QoE　and　establish　the　Mapping　model　of　packet　loss　rate　and　the　Quality　of　experience　when　the　video　transmit　in　the　network,　and　in　order　to　have　a　better　evaluate　of　video　quality　which　through　the　network　transmission,　building　a　NS2+　MyEvalvid　simulation　platform,　conducting　simulation　and　evaluation　for　the　video　transmit　in　the　network,　focus　on　the　influence　of　packet　loss　on　QoE　and　establish　the　Mapping　model　of　packet　loss　rate　and　the　Quality　of　experience.　And　extract　features,　using　Least　squares　support　vector　machine　method　to　establish　no-reference　video　quality　assessment　model　considering　the　network　packet　loss.　Simulation　results　show　that,　packet　loss　has　a　significant　influence　on　Quality　of　experience.　Packet　loss　rate　and　the　Quality　of　experience　presents　a　nonlinear　relationship.　Therefore,　based　on　the　study　of　packet　loss　has　a　significant　influence　on　Quality　of　experience,　using　a　nonlinear　regression　analysis　method　to　establish　the　Mapping　model　of　packet　loss　rate　and　the　Quality　of　experience.　And　extract　features,　using　Least　squares　support　vector　machine　method　to　establish　no-reference　video　quality　assessment　model　considering　the　network　packet　loss.　The　experimental　results　show　that,　LS-SVM＇　s　training　speed　is　fast,　the　model　is　more　accurate　than　the　other　models.