Data　aggregation　is　generally　considered　an　important　method　used　to　reduce　traffic　and　increase　lifetime　of　wireless　sensor　networks　in　both　two-　and　three-dimensional　space.　It　is　challenging　to　develop　efficient　data　aggregation　solution　for　the　wireless　sensor　networks　since　quality-of-service,　such　as　end-to-end　delay,　is　considered　as　a　severe　criterion　required　in　many　scenarios.　In　this　paper　we　focus　on　the　minimum-latency　data　aggregation　problem,　which　was　proved　to　be　NP-hard,　and　proposed　a　new　efficient　scheme　including　both　the　aggregation　tree　construction　process　and　the　scheduling　algorithm　to　determine　the　transmission　time　for　all　nodes　in　the　network　with　collision　avoided.　We　have　proved　that　the　upper　bound　for　data　aggregation　with　our　proposed　scheme　is　bounded　by　(15R　+　Delta　-　15)　for　wireless　sensor　networks　in　two-dimensional　space.　We　have　also　simulated　the　case　in　three-dimensional　wireless　sensor　networks.　Extensive　simulation　results　have　shown　that　the　proposed　scheme　has　better　performance　compared　with　related　works.