Abstract
Estimating distance from RSSI is not a straightforward task, especially when using consumer devices. The signal presents large levels of noise, and it is heavily affected by the conditions of the environment and by the devices themselves. In this paper we characterize experimentally different conditions of this noise, then we propose a filter to reduce it and to smooth and stabilize the signal; finally, we apply the filter to our test environment and validate its data. The experimental results showed that the filter has notorious benefits on precision when estimating distance from RSSI signal.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Moser, V., Barišić, I., Rajle, D., Dimter, S.: Comparison of different survey methods data accuracy for road design and construction. In: Proceedings of the International Conference on Road and Rail Infrastructure CETRA (2016)
Lu, M., Chen, W., Shen, X., Lam, H.-C., Liu, J.: Positioning and tracking construction vehicles in highly dense urban areas and building construction sites. Autom. Constr. 16, 647–656 (2007)
Mainetti, L., Patrono, L., Sergi, I.: A survey on indoor positioning systems. In: 2014 22nd International Conference on Software, Telecommunications and Computer Networks (SoftCOM), pp. 111–120. IEEE (2014)
An, K., Xie, S., Ouyang, Y.: Reliable sensor location for object positioning and surveillance via trilateration. Transp. Res. Procedia. 23, 228–245 (2017)
Rusli, M.E., Ali, M., Jamil, N., Din, M.M.: An Improved Indoor Positioning Algorithm Based on RSSI-Trilateration Technique for Internet of Things (IOT). In: 2016 International Conference on Computer and Communication Engineering (ICCCE), pp. 72–77. IEEE (2016)
Hara, S., Zhao, D., Yanagihara, K., Taketsugu, J., Fukui, K., Fukunaga, S., Kitayama, K.: Propagation characteristics of IEEE 802.15. 4 radio signal and their application for location estimation. In: 2005 IEEE 61st Vehicular Technology Conference, VTC 2005-Spring, pp. 97–101. IEEE (2005)
Piyare, R.: Internet of Things: ubiquitous home control and monitoring system using android based smart phone. Int. J. Internet Things. 2, 5–11 (2013)
IEEE Standard for Information technology-Telecommunications and information exchange between systems Local and metropolitan area networks-Specific requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications. IEEE Std 80211–2012 Revis. IEEE Std 80211–2007. 1–2793 (2012)
Wu, R.-H., Lee, Y.-H., Tseng, H.-W., Jan, Y.-G., Chuang, M.-H.: Study of characteristics of RSSI signal. In: 2008 IEEE International Conference on Industrial Technology, ICIT 2008, pp. 1–3. IEEE (2008)
Bellavista, P., Corradi, A., Giannelli, C.: Evaluating filtering strategies for decentralized handover prediction in the wireless internet. In: 11th IEEE Symposium on Computers and Communications, ISCC 2006, Proceedings, pp. 167–174. IEEE (2006)
Heo, J., Kwon, Y.: Improved indoor positioning system using BLE beacons and a compensated gyroscope sensor. In: Intelligent Robotics and Applications, pp. 69–76. Springer, Cham (2017)
Onofre, S., Caseiro, B., Pimentão, J.P., Sousa, P.: Using fuzzy logic to improve BLE indoor positioning system. In: Technological Innovation for Cyber-Physical Systems, pp. 169–177. Springer, Cham (2016)
Kuxdorf-Alkirata, N., Werthwein, T., Heinemann, A., Brückmann, D.: A self-calibrating bidirectional indoor localization system. In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3276–3280 (2017)
Jadidi, M.G., Patel, M., Miro, J.V.: Gaussian processes online observation classification for RSSI-based low-cost indoor positioning systems. In: 2017 IEEE International Conference on Robotics and Automation (ICRA), pp. 6269–6275 (2017)
Yu, Z., Guo, G.: Improvement of positioning technology based on RSSI in ZigBee networks. Wirel. Pers. Commun. 95, 1943–1962 (2017)
Aykaç, M., Erçelebi, E., Aldin, N.B.: ZigBee-based indoor localization system with the personal dynamic positioning method and modified particle filter estimation. Analog Integr. Circuits Signal Process. 92, 263–279 (2017)
Lin, K.H., Lu, C.C., Chen, H.M., Li, H.F., Chuang, C.F.: A modified least squares iteration for indoor positioning system. In: 2017 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), pp. 109–110 (2017)
Luo, Q., Yan, X., Li, J., Peng, Y., Tang, Y., Wang, J., Wang, D.: DEDF: lightweight WSN distance estimation using RSSI data distribution-based fingerprinting. Neural Comput. Appl. 27, 1567–1575 (2016)
Pyda, J., Prokop, W., Rusinek, D., Ksiezopolski, B.: Secure and reliable localization in wireless sensor network based on RSSI mapping. In: Computer Networks, pp. 55–69. Springer, Cham (2017)
Xue, W., Qiu, W., Hua, X., Yu, K.: Improved Wi-Fi RSSI measurement for indoor localization. IEEE Sens. J. 17, 2224–2230 (2017)
Nagaraju, S., Gudino, L.J., Kadam, B.V., Ookalkar, R., Udeshi, S.: RSSI based indoor localization with interference avoidance for Wireless Sensor Networks using anchor node with sector antennas. In: 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), pp. 2233–2237 (2016)
Ordóñez-Camacho, D., Cabrera-Goyes, E.: Towards a Bluetooth Indoor Positioning System with Android Consumer Devices. To be Presented at the International Conference on Information Systems and Computer Sciences, INCISCOS (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Ordóñez-Camacho, D., Cabrera-Goyes, E. (2018). An Adaptive-Bounds Band-Pass Moving-Average Filter to Increase Precision on Distance Estimation from Bluetooth RSSI. In: Rocha, Á., Guarda, T. (eds) Proceedings of the International Conference on Information Technology & Systems (ICITS 2018). ICITS 2018. Advances in Intelligent Systems and Computing, vol 721. Springer, Cham. https://doi.org/10.1007/978-3-319-73450-7_78
Download citation
DOI: https://doi.org/10.1007/978-3-319-73450-7_78
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-73449-1
Online ISBN: 978-3-319-73450-7
eBook Packages: EngineeringEngineering (R0)