# BLE RSS Measurements Dataset for Research on Accurate Indoor Positioning
## 5 Discussion and Conclusions  
This paper introduced a new BLE RSS database freely available to the research community. The RSS data was taken at two distinct zones of a university: among shelves in a library and at an office space. The RSS measurements were carefully annotated with position, time, and collection details labels. The data was gathered in the library zone using three smartphones (by three individuals) and in the office zone using one of those smartphones with beacons configured at three transmission powers. The difference of zones, collection devices, and transmission powers, as well as the dense beacon deployments, make the data useful to analyze a BLE RSS-based indoor positioning system in different environments and device settings, thus, likely making it more suitable to practical tests. In addition to the RSS and their associated labels, the position where the beacons were deployed and the geometries of shelves found in the environments are also provided.  
Beyond the description of the collection process and the provided data, this paper provided a starting point to the usage of the data and presented key problems in the BLE RSS-based indoor positioning. The reader is introduced to the effect of the environment on the RSS values, the signal detection sensibility differences in the smartphones, and the major hurdle that is advertisement detection delays, which is significant in some devices. To test positioning using our data, two simple but widely used methods were applied: the weighted centroid and the kNN-based fingerprinting. The paper presented the results of testing them across the range of zones, devices, and powers that our database allows, and also considered a solution to the detection delays problem. In addition, brief analyses regarding beacon placement and positioning method robustness to beacon disconnection are presented. The data, the code, the analyses and the references described in this document may prove of significant importance for further studies into challenges of BLE assisted indoor positioning.  
The analyses presented in this paper are only simple examples to encourage the research community working in indoor positioning to use our dataset and to introduce some common challenges in BLE RSS-based positioning. Plenty of other experiments are possible using the dataset, like analyzing the effects of orientation of different training and test sets or beacons deployment selection on fingerprinting methods, as well as the combination of BLE and Wi-Fi, if our previously published datasets are also used, and more in deep analysis of Wi-Fi and BLE similarities and differences. We plan to create new versions of the database, which would likely include other locations and collection orientations.  
[PERSON] and [PERSON] designed the collection campaigns and performed the data collection. [PERSON] and [PERSON] conceived the data formats. [PERSON] wrote the scripts. [PERSON] and [PERSON] analyzed and validated the experimental results. All authors participated in the paper's writing and internal reviewing.  
German [PERSON] gratefully acknowledges funding from grant PBEDOC/2016/55 by Universitat Jaume I. The authors gratefully acknowledge funding from European Union's Horizon 2020 research and innovation programme under the [PERSON] Sklodowska Curie grant agreement No. 813278 (A-WEAR: A network for dynamic wearable applications with privacy constraints, [[http://www.a-wear.eu/](http://www.a-wear.eu/)]([http://www.a-wear.eu/](http://www.a-wear.eu/))) and from Agencia Valenciana de la Innovacio transfer programme under the \"Valorizacion, transferencia y explotacion por las empresas de resultados de l+D\" funding line INNVAL10/18/049 (Prototipo de Asistente Virtual Basado en Geolocalization para Visitas Guiadas en Museo).  
The authors declare no conflict of interest. The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.