Visible Light Indoor Positioning Algorithm Base on the Fruit Fly Modified DV-hop Method

In this study, we propose a visible light indoor positioning algorithm based on the fruit fly modified distance vector-hop (DV-hop) method. The algorithm uses the non-distance-based DV-hop protocol to locate the unknown node in the visible light system. It uses the fruit fly optimization-searching algorithm to select the best anchor node in the DV-hop visible light indoor positioning algorithm. The proposed algorithm can reduce hardware costs and avoid the ranging-based positioning algorithm error caused by the multipath effect and LED receiving angle. The proposed algorithm makes the average distance of each hop closer to the real distance between the anchor node and the unknown node and improves location accuracy. According to simulation results, the algorithm can reduce the location error of visible light indoor positioning, improve positioning accuracy, and be more effectively adapted to low-cost requirements and low energy consumption without increasing the hardware cost.