Locating objects in a sensor grid

Finding the location of an object, other than sensor in a sensor network is an important problem. Here a technique is proposed to find the location of objects in a sensor grid. The locations of the sensors are assumed to be known. A sensor can only sense the number of objects present in its neighborhood. This small information injects low traffic in the network. The computations are carried out completely in the base station. In this paper we examine the role of very simple and noisy sensors for the tracking problem. We propose a binary sensor model, where each sensor's value is converted reliably to minimum bit of information