Improving Localization Accuracy Using Selective 3-Anchor DV-Hop Algorithm

Abstract

Localization is a fundamental issue which is studied for many wireless networks applications like robotic networks. However, the existing range-free indoor localization algorithms haven't provided sufficient accuracy. In this paper, we propose a Selective 3- Anchor DV-hop algorithm with the following idea: the normal node first selects any three anchors to form a 3-anchor group, then it calculates the candidate positions based on each 3-anchor group, and finally according to the relation between candidate positions and the minimum hop counts to anchors, the normal node chooses the best candidate position. Simulation results show that our new algorithm achieves a better precision, compared with the existing relative algorithms.