The mobile peer-to-peer environment is easier to implement in location privacy preserving research. The mobile users cooperate through P2P multi-hop routing to blur their accurate locations into a spatial cloaking region, but most existing spatial cloaking algorithm cannot work well because of the high communication overhead, time consumption and the lower success rate. This paper proposes an algorithm that can recommend user's privacy requirements by collecting users' weighed density information in their neighborhood, and therefore help mobile users to find enough collaborative users quickly. The approach shows great anonymization success rate by 92% through extensive simulation experiments for a range of P2P environment scenarios. It achieves lower communication cost and less than 500ms of searching time at the same time.