Abstract
This study explores BLE (Bluetooth Low Energy) Beacon indoor positioning for smart home power management. We propose a novel system framework using BLE Beacon to detect the user location and conduct power management in the home through a mobile device application. Due to the BLE Beacon may produce the multipath effect, this study uses the positioning algorithm and hardware configuration to reduce the error rate. Location fingerprint positioning algorithm and filter modification are used to establish a positioning method for facilitating deployment and saving computing resources. The experiments include observing the RSSI (Received Signal Strength Indicators) and selecting the filters; discussing the relationship between the characteristics of the BLE Beacon signal accuracy and the number of the BLE Beacon deployed in space; the BLE Beacon multilateration positioning combined with the In-Snergy intelligent energy management system for smart home power management. The contribution is to allow users to enjoy smart home services based on the location using a mobile device application.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Huh, J.H., Seo, K.: An indoor location-based control system using Bluetooth beacons for IoT systems. Sensors 17(12), 2917, 1–22 (2017). https://doi.org/10.3390/s17122917
Jeon, K.E., She, J., Soonsawad, P., Ng, P.C.: BLE beacons for internet of things applications: survey, challenges, and opportunities. IEEE Internet Things J. 5(2), 811–828 (2018). https://doi.org/10.1109/JIOT.2017.2788449
Nath, R.K., Bajpai, R., Thapliyal, H.: IoT based indoor location detection system for smart home environment. In: Proceedings of the 2018 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, 12–14 January 2018, pp. 1–3. https://doi.org/10.1109/icce.2018.8326225
Alelaiwi, A., Hassan, M.M., Bhuiyan, M.Z.A.: A secure and dependable connected smart home system for elderly. In: Proceedings of the IEEE International Conference on Dependable, Autonomic and Secure Computing, 15th International Conference on Pervasive Intelligence & Computing and 3rd International Conference on Big Data Intelligence and Computing and Cyber Science and Technology Congress (DASC/PiCom/DataCom/CyberSciTech), Orlando, FL, USA, 6–10 November 2017, pp. 722–727
Liu, Q.H., Yang, X.S., Deng, L.Z.: An IBeacon-based location system for smart home control. Sensors 18(6), 1897, 1–13 (2018). https://doi.org/10.3390/s18061897
Zafari, F., Gkelias, A., Leung, K.K.: A survey of indoor localization systems and technologies. CoRR abs/1709.01015 (2017)
Chen, D.Y., Shin, K.G., Jiang, Y.R., Kim, K.H.: Locating and tracking BLE beacons with Smartphones. In Proceedings of the 13th International Conference on emerging Networking EXperiments and Technologies (CoNEXT 2017), pp. 263–275 (2017). https://doi.org/10.1145/3143361.3143385
Betzing, J.H.: Beacon-based customer tracking across the high street: perspectives for location-based smart services in retail. In: Proceedings of the 24th Americas Conference on Information Systems, New Orleans, LA, US (2018)
Faragher, R., Harle, R.: Location fingerprinting with bluetooth low energy Beacons. IEEE J. Sel. Areas Commun. 33(11), 2418–2428 (2015). https://doi.org/10.1109/JSAC.2015.2430281
Daniş, F.S., Cemgil, A.T.: Model-based localization and tracking using bluetooth low-energy Beacons. Sensors 17 (11), 2484, 1–23 (2017). https://doi.org/10.3390/s17112484
de Blasio, G., Quesada-Arencibia, A., GarcÃa, C.R., Molina-Gil, J.M., Caballero-Gil, C.: Study on an indoor positioning system for harsh environments based on Wi-Fi and bluetooth low energy. Sensors 17(6), 1299, 1–28 (2017). https://doi.org/10.3390/s17061299
Pu, Y.C., You, P.C.: Indoor positioning system based on BLE location fingerprinting with classification approach. Appl. Math. Model. 62, 654–663 (2018). https://doi.org/10.1016/j.apm.2018.06.031
Longo, A., et al.: Localization and monitoring system based on BLE fingerprint method. WAIAH@AI*IA (2017)
Ke, C.K., Lu, C.C., Kuo, T.W.: Smart home power control via mobile device based on BLE Beacon multi-point positioning. In: Proceedings of the 24th TANET 2018, Taoyuan, Taiwan (R.O.C.) (2018)
iFamily (2014). https://www.insnergy.com/#!ifamilyMain
THLight (2018). http://www.thlight.com/home/index
Wang, Q., Sun, R., Zhang, X.D., Sun, Y.R., Lu, X.J.: Bluetooth positioning based on weighted K-nearest neighbors and adaptive bandwidth mean shift. Int. J. Distrib. Sens. Netw. 13(5), 1–8 (2017). https://doi.org/10.1177/1550147717706681
Sig, B.: Bluetooth Specification Version 4.0 (2010). http://www.bluetooth.org
Public API for the Bluetooth GATT (2018). https://developer.android.com/reference/android/bluetooth/BluetoothGatt
Xiong, M., Wu, Y., Ding, Y., Mao, X., Fang, Z., Huang, H.: A smart home control system based on indoor location and attitude estimation. In: Proceedings of the International Conference on Computer, Information and Telecommunication Systems (CITS), Kunming, China, 6–8 July 2016; pp. 1–5
Acknowledgement
This research was supported in part by the Ministry of Science and Technology, R.O.C. with a MOST grant 107-2221-E-025-005.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Ke, CK., Ho, WC., Lu, KC. (2019). Developing a Beacon-Based Location System Using Bluetooth Low Energy Location Fingerprinting for Smart Home Device Management. In: Chen, JL., Pang, AC., Deng, DJ., Lin, CC. (eds) Wireless Internet. WICON 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 264. Springer, Cham. https://doi.org/10.1007/978-3-030-06158-6_24
Download citation
DOI: https://doi.org/10.1007/978-3-030-06158-6_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-06157-9
Online ISBN: 978-3-030-06158-6
eBook Packages: Computer ScienceComputer Science (R0)