APPLICATION OF THE ROBUST APPROACH TO INCREASE THE ACCURACY OF DETERMINING THE COORDINATES OF THE ELEMENTS OF WIRELESS SENSOR NETWORKS

Background. Modern methods for determining the coordinates of elements of wireless sensor networks allow solving the problems of determining the mutual distances between the elements of a wireless network under the assumption that the errors in measuring the mutual distances between network elements are distributed according to the normal law. With increasing requirements for the accuracy of determining coordinates, these methods do not allow solving the problem. Objective. The purpose of the paper is to improve the accuracy of determining the coordinates of elements of wireless sensor networks by using robust estimation methods. Methods. Determination of coordinates of elements of wireless sensor networks is implemented on the basis of two robust methods. The first is the use of a median estimate based on multiple measurements of the mutual distances between elements to determine their coordinates. The second is based on multiple measurements of the mutual distances between elements, determining their coordinates based on the Huber influence function and comparing two robust methods. Results. The use of a robust method based on the Huber influence function makes it possible to increase the accuracy of determining the coordinates of elements of wireless sensor networks by 5-10% compared to classical estimation methods. Conclusions. The proposed robust approach to determining the coordinates of elements of wireless sensor networks can be implemented in modern ground-based sensor networks for various purposes. Keywords: wireless sensor network; determination of coordinates of elements of wireless sensor networks; robust estimation methods.