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Continuous Object Tracking (COT) is an important application in wireless sensor networks (WSNs) for smart grid, e.g. detecting forest fire, monitoring mudrock flow phenomena etc. The early warning can effectively reduce the impact of geological disasters for the power system. However, due to the constrained resource of WSN, it is a challenging issue to monitor phenomena in real time for excessive amount of message exchanges between sensors and the sink. In this paper, we propose a novel multisink architecture which consists of a static sink and a mobile sink guided by Geographic Information System (GIS). The two sinks can cooperatively work in an intelligent model in which the mobile sink can calculate the right position to collect the information from boundary nodes; in which the static one can reduce much message transmission as well as energy consumption based on centroid algorithm. Meanwhile, we present a novel algorithm which can track the object more accurately. The simulation result shows that our architecture can distinctly prolong the network life time than single sink network in continuous object tracking.