The invention discloses a target forecast-tracking method of a wireless sensor network based on particle filtration, and the method mainly comprises the following steps: using a follow-up node of a target at the current time for forecasting the target state by filtration in a single-point type network with self-organization form, thereby being taken as the basis for awakening the follow-up node at the next time; judging whether the target forecast position falls outside the awakening range of the current follow-up node or not according to the relationship between the forecast position and the current real position; adjusting sampling time when the target forecast position falls outside the awakening range of the current follow-up node; carrying out re-filtration forecast on the adjusted sampling time; and awakening the node in the vicinity of the forecast position at the next time, thereby being taken as the follow-up node at the next time. The target forecast-tracking method can significantly reduce the impacts of deviation between the forecast position and the current target follow-up node on the node awakening result and reduce the target-losing rate of target tracking of the wireless sensor network.