In　view　of　the　energy　Limitation　and　data　redundancy　of　wireless　sensor　networks　(WSN),　in　order　to　better　coordinate　WSN　computing　resources　and　make　rational　use　of　its　energy,　this　paper　uses　DS　evidence　theory　and　matrix　analysis　to　jointly　improve　WSN　consumption　and　efficient　use　of　redundant　data.　On　the　one　hand,　the　DS　evidence　theory　is　used　to　fuse　redundant　data　of　WSN;　on　the　other　hand,　with　the　idea　of　matrix　analysis,　the　process　of　DS　evidence　theory　fusion　is　accelerated.　Simulation　experiments　show　that　this　joint　mode　not　only　improves　the　energy　utilization　of　WSN,　but　also　optimizes　the　transmission　data　quality　of　WSN.