A new one hop localization algorithm based on clustering for WSNs

The determination of sensor node\´s position is one of the important issues in sensor networks. Several methods have been presented in order to determine the position of nodes in these networks. Among them, the "Data Fusion" method, due to the combinational utilization of TDOA and RSS has been able to calculate the distance between nodes more accurately. In the method presented in this paper, by using a series of rules, clustering and Prioritizing in choosing reference nodes the precision of localization of "Data Fusion" Method has been increased, particularly in those locations where the density of reference nodes is little in the network or those places in which the network has holes. Meanwhile, we were able to avoid Error dissemination in network, by applying clustering. The simulation results show that, in a similar environment, the suggested method is more accurate comparing to the existing localization methods. It also has appropriate reliability as well.