In　this　paper,　we　present　a　novel　smart　home　system　integrating　energy　efficiency　features.　The　paper　firstly　introduces　the　attempt　tried　by　the　power　system　and　researchers　for　home　energy-saving.　Secondly　the　paper　compares　the　performance　of　three　kinds　of　network,　and　raised　timing　sleep,　routing　node　rotation　mechanism　and　data　compression　for　ZigBee　to　conserve　energy.　Thirdly　introduces　three　main　sensors　monitored　to　conserve　energy　and　presents　an　experiment　to　find　the　optimal　light　intensity　for　healthy　and　sustainable　lifestyle.　Fourthly　combines　fuzzy　neural　network　for　energy-saving　and　puts　forward　the　design　and　learning　procedure　for　home　controlling.　At　last　it　prospects　the　future　research　work　about　smart　home　visualized　by　mixed　reality　to　achieve　more　ideal　control.　©　2017　IEEE.