A Wireless sensor network (WSN) consists of a large number of sensing devices, called sensor nodes, which are interconnected through wireless links to perform distributed sensing tasks. When a sensor node detects a soldier or an endangered animal, it reports the event to the data collector called the Sink. This data transmission may occur via Multihop transmission, where the sensor nodes act as routers. Since the sensed data are typically transmitted through wireless channels, so adversaries can easily eavesdrop the information about location of source nodes. Therefore, preserving source nodes location and Sink Location privacy is essential. In Existing system they can only protect the source location. They can prevent the source location privacy by the flooding technique has the source node send each packet through numerous paths to a sink, making it difficult for an adversary to trace the source. That the assumption of a global eavesdropper, who can monitor the entire network traffic, can easily find the source location privacy or data flow. Thereby in our Proposed System, we can protect location privacy for both sink and source against the global eavesdropper. In source location privacy, we use the periodic collection and source simulation technique. In sink location privacy, we use the sink simulation and backbone flooding technique.