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Sensor networks include large number of low cost sensor nodes with small processing capabilities that are deployed over an area in an attempt to do interest sensing task. In this paper we examine the role of very simple and noisy sensors for distributed tracking problem that is one of these tasks. We use a proposed binary sensor model, where each sensorpsilas value is converted reliably to one bit of information only: whether the object is moving toward the sensor or away from it and propose a cooperative distributed algorithm that can be used in real-time tracking and is efficient in power and bandwidth. We show that how an estimator sensor use information from its neighbors to estimate target location more accurately. Our extensive simulations show low error in low density sensor networks.