In　this　paper,　we　study　the　problem　of　maximizing　lifetime　data　aggregation　in　multi-sink　wireless　sensor　networks　with　unreliable　vehicle　communication　environment.　Firstly,　we　analyze　the　communication　between　adjacent　nodes,　and　present　the　optimal　emission　radius　that　can　guarantee　the　minimum　expected　energy　consumption.　Secondly,　we　discuss　the　problem　that　how　sensor　nodes　choose　the　sink　node　to　send　message.　Thirdly,　we　propose　the　Tree-based　topology　Data　Aggregation　algorithm　(TDA)　based　on　the　energy　consumption　balancing　and　the　Directed　Acyclic　Graph　based　Data　Aggregation　algorithm　(DAGDA)　to　improve　the　data　acceptance　probability.　The　simulation　results　show　that　our　algorithms　can　extend　network　lifetime　effectively.　©　2014　Springer　International　Publishing　Switzerland.