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Dergiler / Istanbul University Journal of Electrical and Electronics Engineering / 2017 / Cilt: 17 - Sayı: 2

Short Range Indoor Distance Estimation by Using RSSI Metric

Levent ÇETİN
Özgür TAMER
Türker TÜRKORAL
Enes İNANÇ
Suat YETİŞ
Sayfa
3295–3302
Yayın Tarihi
2022-10-18
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

For an indoor environment, the distances between the nodes are estimated by using the Received Signal Strength Indicator (RSSI) parameter provided by the wireless communication infrastructure, namely Wi-Fi.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Indoor localization problem is a highly preferred research area in recent years.
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Temel Bulgular & Veri:Estimating the location of a communication node is essential in many fields including swarm robotics, wireless sensor nodes etc.
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Sonuç & Katkı:For an indoor environment, the distances between the nodes are estimated by using the Received Signal Strength Indicator (RSSI) parameter provided by the wireless communication infrastructure, namely Wi-Fi.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

Indoor localization problem is a highly preferred research area in recent years. Estimating the location of a communication node is essential in many fields including swarm robotics, wireless sensor nodes etc. In applications without a reference point, relative localization of the nodes with respect to each other is preferred. In order to estimate the relative positions of the communication nodes, the distance information of each node with respect to other nodes is required. In this paper, it is aimed to estimate the distances between the nodes by using the received signal strength (RSS) information. For an indoor environment, the distances between the nodes are estimated by using the Received Signal Strength Indicator (RSSI) parameter provided by the wireless communication infrastructure, namely Wi-Fi.

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Bu Makaleye Atıf Yap

ÇETİN, L., TAMER, Ö., TÜRKORAL, T., İNANÇ, E., YETİŞ, S. (2022). Short Range Indoor Distance Estimation by Using RSSI Metric. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 17 - Sayı: 2, 3295–3302. https://ajindex.com/articles/543601

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Kaynakça (14)

  1. Patwari, N., Ash, J. N., Kyperountas, S., Hero, A. O., Moses, R. L., & Correal, N. S. (2005). Locating the nodes: cooperative localization in wireless sensor networks. IEEE Signal processing magazine, 22(4), 54- 69
  2. Trianni, V. (2008). Evolutionary swarm robotics: evolving self-organising behaviours in groups of autonomous robots (Vol. 108). Springer
  3. Sahin, E., & Spears, W. M. (Eds.). (2005). Swarm Robotics: SAB 2004 International Workshop, Santa Monica, CA, USA, July 17, 2004, Revised Selected Papers (Vol. 3342). Springer
  4. Koutsoukos, R. F. X. D. (2009). Mobile Entity Localization and Tracking in GPS-less Environments
  5. Liu, H., Darabi, H., Banerjee, P., & Liu, J. (2007). Survey of wireless indoor positioning techniques and systems. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 37(6), 1067-1080
  6. Alavi, B., & Pahlavan, K. (2006). Modeling of the TOAbased distance measurement error using UWB indoor radio measurements. IEEE communications letters, 10(4), 275-277
  7. Bocquet, M., Loyez, C., & Benlarbi-Delai, A. (2005). Using enhanced-TDOA measurement for indoor positioning. IEEE Microwave and wireless components letters, 15(10), 612-614
  8. Türkoral, T., Tamer, Ö., Yetiş, S., İnanç, E., & Çetin, L. (2016, December). Indoor distance estimation with using received signal strength indicator (RSSI) metric. In Electrical, Electronics and Biomedical Engineering (ELECO), 2016 National Conference on (pp. 397-401). IEEE
  9. Ahn, H. S., & Yu, W. (2009). Environmental-adaptive RSSI-based indoor localization. IEEE Transactions on Automation Science and Engineering, 6(4), 626-633
  10. Güvenç, I., & Chong, C. C. (2009). A survey on TOA based wireless localization and NLOS mitigation techniques. IEEE Communications Surveys and Tutorials, 11(3), 107-124
  11. Dogançay, K. (2005). Emitter localization using clustering-based bearing association. IEEE Transactions on Aerospace and Electronic Systems, 41(2), 525-536
  12. Mazuelas, S., Bahillo, A., Lorenzo, R. M., Fernandez, P., Lago, F. A., Garcia, E.,. & Abril, E. J. (2009). Robust indoor positioning provided by real-time RSSI values in unmodified WLAN networks. IEEE Journal of selected topics in signal processing, 3(5), 821-831
  13. Laaraiedh, M., Yu, L., Avrillon, S., & Uguen, B. (2011). Comparison of hybrid localization schemes using RSSI, TOA and TDOA. European Wireless, 2011, 626-630
  14. Xiao, J., Liu, Z., Yang, Y., Liu, D., & Xu, H. (2011). Compar