The　Internet　of　things,　including　Internet　technology,　including　wired　and　wireless　networks.　The　purpose　of　QOS-QOE　energy　saving　optimization　model　for　wireless　sensor　networks　is　to　define　and　study　the　QOS-QOE　energy　saving　optimization　modeling　problem　of　WSN　networks.　The　main　content　is　the　research　object　of　QOS-QOE　wireless　sensor　network.　The　main　research　method　is　to　find　such　key　problems　in　QOS-QOE　modeling　of　wireless　sensor　network,　usually　the　objective　function　is　the　key　issue,　mainly　uses　the　ant　colony　algorithm,　genetic　algorithm,　SVM+PCA　and　LS-SVM　and　LIBSVM　artificial　neural　network　method.　The　four　key　technologies　of　the　Internet　are　widely　used,　and　these　four　technologies　are　mainly　RFID,　WSN,　M2M,　two　kinds　of　integration.　RFID　can　be　implemented　using　MATLAB,　NS2,　and　JAVA,　and　WSN　can　be　implemented　using　NS2,　and　M2M　can　be　developed　using　JAVA.　In　this　paper,　we　investigate　on　the　QOE　and　packet　loss　rate　of　the　network　because　QOE　is　important　in　the　network　and　packet　loss　rate　is　the　key　point　in　many　papers.　In　order　to　have　a　better　evaluate　of　video　quality　which　through　the　network　transmission,　build　NS2+MyEvalvid　simulation　platform,　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.