Sistemas de localização indoor utilizando Bluetooth Low Energy: Uma revisão sistemática
Resumo
A localização indoor mostra-se essencial visto que há um crescimento de aplicações que fazem o uso desta. Consequentemente, a necessidade de localizar usuários de forma eficiente nestes ambientes também surge. Por isto, este artigo realiza uma revisão sistemática dos métodos existentes de localização indoor. Com a definição e a aplicação de um método de pesquisa, a revisão tem o intuito de determinar como se encontra o atual estado da arte deste assunto.
Referências
Benaissa, B., Hendrichovsky, F., Yishida, K., Koppen, M., and Sincak, P. (2018). Phone application for indoor localization based on ble signal fingerprint. In 2018 9th IFIP Int. Conf. on New Techs., Mobility and Security (NTMS), pages 1–5.
Budgen, D. and Brereton, P. (2006). Performing systematic literature reviews in software engineering. In Proceedings of the 28th Int. Conf. on Software Engineering, ICSE ’06, pages 1051–1052, New York, NY, USA. ACM.
Cay, E., Mert, Y., Bahcetepe, A., Akyazi, B. K., and Ogrenci, A. S. (2017). Beacons for indoor positioning. In 2017 Int. Conf. on Engineering and Technology (ICET), pages 1–5.
Chandel, V., Ahmed, N., Arora, S., and Ghose, A. (2016). Inloc: An end-to-end robust indoor localization and routing solution using mobile phones and ble beacons. In 2016 Int. Conf. on Indoor Positioning and Indoor Navigation (IPIN), pages 1–8.
Davidson, P. and Piche, R. (2017). A survey of selected indoor positioning methods for smartphones. IEEE Communications Surveys Tutorials, 19(2):1347–1370.
Filípek, P. and Kovarova, A. (2016). Indoor localization based on beacons and calculated by particle filter. In Proceedings of the 17th Int. Conf. on Computer Systems and Techs. 2016, CompSysTech ’16, pages 269–276, New York, NY, USA. ACM.
Hou, X. and Arslan, T. (2017). Monte carlo localization algorithm for indoor positioning using bluetooth low energy devices. In 2017 Int. Conf. on Localization and GNSS (ICL-GNSS), pages 1–6.
Jondhale, S. R. and Deshpande, R. S. (2019). Grnn and kf framework based real time target tracking using psoc ble and smartphone. Ad Hoc Networks, 84:19 – 28.
Kanzaki, R. and Fujita, S. (2016). Indoor positioning based on the ibeacon framework with gaussian weight functions.
In 2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES), pages 158–165.
Kuxdorf-Alkirata, N. and Bruckmann, D. (2016). Reliable and low-cost indoor localization based on bluetooth low energy. In 2016 3rd Int. Symposium on Wireless Systems within the Conf. on Intelligent Data Acquisition and Advanced Comp. Systems, pages 92–96.
Kyritsis, A. I., Kostopoulos, P., Deriaz, M., and Konstantas, D. (2016). A ble-based probabilistic room-level localization method. In 2016 Int. Conf. on Localization and GNSS, pages 1–6.
Li, X., Xu, D., Wang, X., and Muhammad, R. (2016). Design and implementation of indoor positioning system based on ibeacon. In 2016 International Conference on Audio, Language and Image Processing (ICALIP), pages 126–130.
Lu, T. T., Liu, Y. J., Ciou, J. J., and Lu, C. H. (2017). Feature selection difference matching method for indoor positioning. In Proceedings of the Second International Conference on Internet of Things, Data and Cloud Computing, ICC ’17, pages 116:1–116:5, New York, NY, USA. ACM.
Luca, D. G. and Alberto, M. (2016). From proximity to accurate indoor localization for context awareness in mobile museum guides. In Proceedings of the 18th Int. Conf. on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI ’16, pages 1002–1009, New York, NY, USA. ACM.
Ma, Z., Poslad, S., Bigham, J., Zhang, X., and Men, L. (2017). A ble rssi ranking based indoor positioning system for generic smartphones. In 2017 Wireless Tele. Symposium (WTS), pages 1–8.
Memon, S., Memon, M. M., Shaikh, F. K., and Laghari, S. (2017). Smart indoor positioning using ble technology. In 2017 4th IEEE Int. Conf. on Engineering Techs. and Applied Sciences (ICETAS), pages 1–5.
Ndzukula, S. G., Ramotsoela, T. D., Silva, B. J., and Hancke, G. P. (2017). A bluetooth low energy based system for personnel tracking. In IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, pages 8435–8440.
Noertjahyana, A., Wijayanto, I. A., and Andjarwirawan, J. (2017). Development of mobile indoor positioning system application using android and bluetooth low energy with trilateration method. In 2017 Int. Conf. on Soft Comp., Intelligent System and Information Tech. (ICSIIT), pages 185–189.
Palumbo, F., Barsocchi, P., Chessa, S., and Augusto, J. C. (2015). A stigmergic approach to indoor localization using bluetooth low energy beacons. In 2015 12th IEEE Int. Conf on Advanced Video and Signal Based Surveillance (AVSS), pages 1–6.
Peng, Y., Fan, W., Dong, X., and Zhang, X. (2016). An iterative weighted knn (iw-knn) based indoor localization method in bluetooth low energy (ble) environment. In 2016 Int. IEEE Confs. on Ubiquitous Intelligence Comp., Advanced and Trusted Comp., Scalable Comp. and Communications, Cloud and Big Data Comp., Internet of People, and Smart World Congress, pages 794–800.
Pu, Y.-C. and You, P.-C. (2018). Indoor positioning system based on ble location fingerprinting with classification approach. Applied Mathematical Modelling, 62:654 – 663.
Tabbakha, N. E., Tan, W., and Ooi, C. (2017). Indoor location and motion tracking system for elderly assisted living home. In 2017 Int. Conf. on Robotics, Automation and Sciences (ICORAS), pages 1–4.
Thaljaoui, A., Val, T., Nasri, N., and Brulin, D. (2015). Ble localization using rssi measurements and iringla. In 2015 IEEE Int. Conf. on Industrial Technology (ICIT), pages 2178–2183.
Xiao, C., Yang, D., Chen, Z., and Tan, G. (2017). 3-d ble indoor localization based on denoising autoencoder. IEEE Access, 5:12751–12760.
Budgen, D. and Brereton, P. (2006). Performing systematic literature reviews in software engineering. In Proceedings of the 28th Int. Conf. on Software Engineering, ICSE ’06, pages 1051–1052, New York, NY, USA. ACM.
Cay, E., Mert, Y., Bahcetepe, A., Akyazi, B. K., and Ogrenci, A. S. (2017). Beacons for indoor positioning. In 2017 Int. Conf. on Engineering and Technology (ICET), pages 1–5.
Chandel, V., Ahmed, N., Arora, S., and Ghose, A. (2016). Inloc: An end-to-end robust indoor localization and routing solution using mobile phones and ble beacons. In 2016 Int. Conf. on Indoor Positioning and Indoor Navigation (IPIN), pages 1–8.
Davidson, P. and Piche, R. (2017). A survey of selected indoor positioning methods for smartphones. IEEE Communications Surveys Tutorials, 19(2):1347–1370.
Filípek, P. and Kovarova, A. (2016). Indoor localization based on beacons and calculated by particle filter. In Proceedings of the 17th Int. Conf. on Computer Systems and Techs. 2016, CompSysTech ’16, pages 269–276, New York, NY, USA. ACM.
Hou, X. and Arslan, T. (2017). Monte carlo localization algorithm for indoor positioning using bluetooth low energy devices. In 2017 Int. Conf. on Localization and GNSS (ICL-GNSS), pages 1–6.
Jondhale, S. R. and Deshpande, R. S. (2019). Grnn and kf framework based real time target tracking using psoc ble and smartphone. Ad Hoc Networks, 84:19 – 28.
Kanzaki, R. and Fujita, S. (2016). Indoor positioning based on the ibeacon framework with gaussian weight functions.
In 2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES), pages 158–165.
Kuxdorf-Alkirata, N. and Bruckmann, D. (2016). Reliable and low-cost indoor localization based on bluetooth low energy. In 2016 3rd Int. Symposium on Wireless Systems within the Conf. on Intelligent Data Acquisition and Advanced Comp. Systems, pages 92–96.
Kyritsis, A. I., Kostopoulos, P., Deriaz, M., and Konstantas, D. (2016). A ble-based probabilistic room-level localization method. In 2016 Int. Conf. on Localization and GNSS, pages 1–6.
Li, X., Xu, D., Wang, X., and Muhammad, R. (2016). Design and implementation of indoor positioning system based on ibeacon. In 2016 International Conference on Audio, Language and Image Processing (ICALIP), pages 126–130.
Lu, T. T., Liu, Y. J., Ciou, J. J., and Lu, C. H. (2017). Feature selection difference matching method for indoor positioning. In Proceedings of the Second International Conference on Internet of Things, Data and Cloud Computing, ICC ’17, pages 116:1–116:5, New York, NY, USA. ACM.
Luca, D. G. and Alberto, M. (2016). From proximity to accurate indoor localization for context awareness in mobile museum guides. In Proceedings of the 18th Int. Conf. on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI ’16, pages 1002–1009, New York, NY, USA. ACM.
Ma, Z., Poslad, S., Bigham, J., Zhang, X., and Men, L. (2017). A ble rssi ranking based indoor positioning system for generic smartphones. In 2017 Wireless Tele. Symposium (WTS), pages 1–8.
Memon, S., Memon, M. M., Shaikh, F. K., and Laghari, S. (2017). Smart indoor positioning using ble technology. In 2017 4th IEEE Int. Conf. on Engineering Techs. and Applied Sciences (ICETAS), pages 1–5.
Ndzukula, S. G., Ramotsoela, T. D., Silva, B. J., and Hancke, G. P. (2017). A bluetooth low energy based system for personnel tracking. In IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, pages 8435–8440.
Noertjahyana, A., Wijayanto, I. A., and Andjarwirawan, J. (2017). Development of mobile indoor positioning system application using android and bluetooth low energy with trilateration method. In 2017 Int. Conf. on Soft Comp., Intelligent System and Information Tech. (ICSIIT), pages 185–189.
Palumbo, F., Barsocchi, P., Chessa, S., and Augusto, J. C. (2015). A stigmergic approach to indoor localization using bluetooth low energy beacons. In 2015 12th IEEE Int. Conf on Advanced Video and Signal Based Surveillance (AVSS), pages 1–6.
Peng, Y., Fan, W., Dong, X., and Zhang, X. (2016). An iterative weighted knn (iw-knn) based indoor localization method in bluetooth low energy (ble) environment. In 2016 Int. IEEE Confs. on Ubiquitous Intelligence Comp., Advanced and Trusted Comp., Scalable Comp. and Communications, Cloud and Big Data Comp., Internet of People, and Smart World Congress, pages 794–800.
Pu, Y.-C. and You, P.-C. (2018). Indoor positioning system based on ble location fingerprinting with classification approach. Applied Mathematical Modelling, 62:654 – 663.
Tabbakha, N. E., Tan, W., and Ooi, C. (2017). Indoor location and motion tracking system for elderly assisted living home. In 2017 Int. Conf. on Robotics, Automation and Sciences (ICORAS), pages 1–4.
Thaljaoui, A., Val, T., Nasri, N., and Brulin, D. (2015). Ble localization using rssi measurements and iringla. In 2015 IEEE Int. Conf. on Industrial Technology (ICIT), pages 2178–2183.
Xiao, C., Yang, D., Chen, Z., and Tan, G. (2017). 3-d ble indoor localization based on denoising autoencoder. IEEE Access, 5:12751–12760.
Publicado
20/05/2019
Como Citar
DA SILVA RODRIGUES, Matheus; TEIXEIRA DE CARVALHO, Sérgio.
Sistemas de localização indoor utilizando Bluetooth Low Energy: Uma revisão sistemática. In: WORKSHOP DE INICIAÇÃO CIENTÍFICA EM SISTEMAS DE INFORMAÇÃO - SIMPÓSIO BRASILEIRO DE SISTEMAS DE INFORMAÇÃO (SBSI), 15. , 2019, Aracaju.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 5-8.
DOI: https://doi.org/10.5753/sbsi.2019.7428.
