With　the　rapid　development　of　Internet　of　Vehicles　(IoV),　vehicle-based　spatial　crowdsourcing　(SC)　applications　have　been　proposed　and　widely　applied　to　various　fields.　However,　location　privacy　leakage　is　a　serious　issue　in　spatial　crowdsourcing　because　workers　who　participate　in　a　crowdsourcing　task　are　required　to　upload　their　driving　locations.　In　this　paper,　we　propose　a　decentralized　location　privacy-preserving　SC　for　IoV,　which　allows　vehicle　users　to　securely　participate　in　SC　with　ensuring　the　task＇s　location　policy　privacy　and　providing　multi-level　privacy　preservation　for　workers＇　locations.　Specifically,　we　introduce　blockchain　technology　into　SC,　which　can　eliminate　the　control　of　vehicle　user　data　by　SC-server.　We　combine　the　additively　homomorphic　encryption　and　circle-based　location　verification　to　ensure　the　confidentiality　of　task＇s　location　policy.　To　achieve　multi-level　privacy　preservation　for　workers＇　driving　locations,　we　only　reveal　a　grid　where　workers　are　located　in.　The　size　of　the　grid　represents　the　level　of　privacy　preservation.　We　leverage　the　order-preserving　encryption　and　non-interactive　zero-knowledge　proof　to　prevent　workers　from　illegally　obtaining　rewards　by　forging　their　driving　locations.　The　security　analysis　results　show　that　our　framework　can　satisfy　the　above　requirements.　In　addition,　the　experiment　results　demonstrate　that　our　framework　is　efficient　and　feasible　in　practice.　©　2000-2011　IEEE.