Distributed grid location estimation scheme based on Euclidean distance

In the research of wireless sensor networks, current location estimation techniques can generally be divided into direct approach and inferred approach, but their algorithms are too complicated to be used in practice. On the basis of the grid-based location estimation scheme (GLS), this paper represents a based on Euclidean distance distributed grid location estimation scheme (EDGLS), which seeks to predict the location of sensor nodes with respect to rectangular grid positions within the network area by using the hop counts these nodes are away from a number of fixed, known markers, and can save a great deal of energy in the whole network. Through the simulation on MATLAB, the results show that the location of EDGLS is more accurate and robust than that of GLS.