Wireless　sensor　networks　deployed　in　open　environments　are　vulnerable　to　clone　attacks.　For　this　clone　attack,　a　clone　detection　method　based　on　compressed　sensing　in　a　cluster　network　is　proposed.　It　combines　the　local　and　global　detection　of　nodes.　The　cluster　head　node　detects　the　nodes　in　the　cluster　and　sets　the　monitoring　nodes　to　the　cluster　head　nodes.　The　convergence　node　uses　the　sparse　characteristics　of　the　cloned　nodes　to　collect　the　identity　information　of　the　nodes　in　the　network.　Determine　the　identity　of　the　cloned　node.　The　experimental　results　show　that　the　detection　rate　and　communication　cost　are　superior　to　other　methods,　and　can　further　enhance　the　security　and　life　of　the　network.