A Groupwise Universal Improvement Scheme for Location Estimation in Wireless Networks

In this paper, we present a novel algorithm for improving localization results of unknown wireless nodes (a.k.a. unknowns or mobile nodes). Our proposed solution, Groupwise Universal Improvement Scheme (G-UnIS), is based on additional information about the a priori known distances between mobile nodes. We show with the simulation results that our method can enhance the accuracy of location estimation. We compare the results of G-UnIS with our previous Pairwise Refinement Scheme. For the localization of unknowns, we have used prepositioned anchor nodes (beacons). The radio channel model used in the simulation was determined using ZEBRA2411 modules from senTec Elektronik GmbH, based on the chipset ZRP1 developed by Freescale Semiconductor.