A novel positioning estimation method with the correlation between sensors' data

Recently, wireless sensor networks have received considerable attention. In order to realize these networks, it is very important to estimate the position of indivisual nodes. The purpose of this study is to improve the accuracy of positioning. In wireless sensor networks, since a large number of sensor nodes are densely distributed over the target field, the sensor are closely located. As a result, the sensing data of nearby nodes have some correlation. Moreover, the closer the sensors are located, the higher the correlation the sensing data have. We propose a novel positioning method based on the above fact. Concretely, we combine the conventional positioning method which consists of the ToA ranging method and the proposed method considering the relationship between the data correlation and the distance. Computer simulations show that our proposed positioning method can improve the accuracy of positioning compared with the conventional ones.