We　propose　a　three-phase　top-vertical　bar　k　vertical　bar　query　based　distributed　data　collection　scheme　which　is　designed　for　clustered　or　multisink　wireless　sensor　networks.　＇the　proposed　scheme　consists　of　a　distributed　iterative　hard　thresholding　algorithm　and　a　three-phase　top-vertical　bar　k　vertical　bar　query　algorithm.　In　the　distributed　iterative　hard　thresholding　algorithm,　the　cluster　heads　or　sink　nodes　reconstruct　the　compressed　data　in　a　distributed　and　cooperative　manner.　Meanwhile,　the　top-vertical　bar　k　vertical　bar　query　operation　in　the　above　algorithm　is　realized　by　pruning　unnecessary　elements　among　cluster　heads　or　sink　nodes　in　the　three-phase　top-vertical　bar　k　vertical　bar　query　algorithm.　Simulation　results　show　that　there　is　no　obvious　difference　in　the　performance　of　data　reconstruction　between　our　proposed　scheme　and　existing　compressive　sensing　theory　based　data　collection　schemes.　However,　both　the　number　of　interactions　and　the　amount　of　transmined　data　among　cluster　heads　or　sink　nodes　can　be　effectively　reduced　in　the　proposed　scheme.　The　performance　of　the　proposed　scheme　is　analyzed　in　detail　in　this　paper　to　support　the　claims.