Evaluation of Indoor Positioning Based on iBeacon and Pi-Beacon

Indoor positioning technologies are becoming ubiquitous and have attracted extensive interest from both the field of Academia and the navigation Industry. However, Building a robust IPS system has been a challenge since its inception due to the attenuation of microwaves or multipath but with the use of Wi-Fi, blue-tooth, Radiofrequency Identification (RFID) and other sensory devices, researchers are have come up with efficient models and algorithms to improve the system. We are proposing a novel approach by integrating iBeacons and Raspberry Pi to collect RSS signals and apply different models on the data then compare the results. In our experiment, two independent layouts were used; iBeacon setup and Pi-Beacon setup which corresponds to our baseline approach and proposed approach respectively. Our proposed approach have shown appreciable reduction in error rate.