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2022 | OriginalPaper | Buchkapitel

3. Survey of Existing RSSI-Based L&T Systems

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Abstract

The RSSI-based target tracking using WSN is a very vast research domain with a wide variety of technologies involved, application of various types of Bayesian frameworks, and ANN-based implementations. In order to understand the recent research trends in these areas, the rigorous survey of existing systems is done and is split into four sections. The first section discusses the various wireless technologies useful for indoor L&T, whereas the second section is devoted to a survey of the application of Bayesian filtering in the RSSI-based L&T applications. The survey of the application of ANN as well as BLE technology in the RSSI-based L&T applications is discussed in the third and fourth sections, respectively.

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Literatur
3.
Zurück zum Zitat Y. Zhang, X. Li, M. Amin, Principles and techniques of RFID positioning, in RFID Systems: Research Trends and Challenges, (Wiley, New York, 2010) Y. Zhang, X. Li, M. Amin, Principles and techniques of RFID positioning, in RFID Systems: Research Trends and Challenges, (Wiley, New York, 2010)
6.
Zurück zum Zitat X. Zhao, Z. Xiao, A. Markham, N. Trigoni, Y. Ren, Does BTLE measure up against WiFi? A comparison of indoor location performance, in European Wireless 2014; 20th European Wireless Conference (2014) X. Zhao, Z. Xiao, A. Markham, N. Trigoni, Y. Ren, Does BTLE measure up against WiFi? A comparison of indoor location performance, in European Wireless 2014; 20th European Wireless Conference (2014)
9.
Zurück zum Zitat R. Mardeni, S. Nizam, Node positioning in zigbee network using trilateration method based on the received signal strength indicator (RSSI). Eur. J. Sci. Res. 46, 48–61 (2010) R. Mardeni, S. Nizam, Node positioning in zigbee network using trilateration method based on the received signal strength indicator (RSSI). Eur. J. Sci. Res. 46, 48–61 (2010)
15.
Zurück zum Zitat J. Letchner, D. Fox, A. LaMarca, Large-scale localization from wireless signal strength, in Association for the Advancement of Artificial Intelligence (2005) J. Letchner, D. Fox, A. LaMarca, Large-scale localization from wireless signal strength, in Association for the Advancement of Artificial Intelligence (2005)
16.
23.
24.
35.
42.
Zurück zum Zitat L. Gogolak, S. Pletl, D. Kukolj, Neural network-based indoor localization in WSN environments. Acta Polytech. Hungarica 10, 221–235 (2013) L. Gogolak, S. Pletl, D. Kukolj, Neural network-based indoor localization in WSN environments. Acta Polytech. Hungarica 10, 221–235 (2013)
44.
46.
Zurück zum Zitat P. K. Yoon, S. Zihajehzadeh, B. S. Kang, E. J. Park, Adaptive Kalman filter for indoor localization using bluetooth low energy and inertial measurement unit, in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (2015). https://doi.org/10.1109/EMBC.2015.7318489 P. K. Yoon, S. Zihajehzadeh, B. S. Kang, E. J. Park, Adaptive Kalman filter for indoor localization using bluetooth low energy and inertial measurement unit, in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (2015). https://​doi.​org/​10.​1109/​EMBC.​2015.​7318489
48.
49.
Zurück zum Zitat V. C. Paterna, A. C. Augé, J. P. Aspas, M. A. P. Bullones, A bluetooth low energy indoor positioning system with channel diversity, weighted trilateration and kalman filtering. Sensors (Switzerland) (2017). https://doi.org/10.3390/s17122927 V. C. Paterna, A. C. Augé, J. P. Aspas, M. A. P. Bullones, A bluetooth low energy indoor positioning system with channel diversity, weighted trilateration and kalman filtering. Sensors (Switzerland) (2017). https://​doi.​org/​10.​3390/​s17122927
Metadaten
Titel
Survey of Existing RSSI-Based L&T Systems
verfasst von
Satish R. Jondhale
R. Maheswar
Jaime Lloret
Copyright-Jahr
2022
DOI
https://doi.org/10.1007/978-3-030-74061-0_3

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