An Improved DV-Hop Algorithm Using Hop Distance Correction and Aquila optimization

Abstract

Aiming at the error of the DV-Hop positioning algorithm in wireless sensor networks, and analyzing the reasons for the error, a DV-Hop positioning algorithm based on hop distance correction and Skyhawk optimization is proposed. This paper proposes that the average hop distance consist of the global average hop distance and the local average hop distance, and then a weighted correction factor is introduced to improve the average hop distance and reduce the ranging error. In addition, the improved Aquila optimizer is used to replace the least square method to calculate the coordinates of the unknown nodes. The experimental results show that, compared with the traditional DV-Hop algorithm, the proposed algorithm improves the positioning accuracy by 42.6%.