AI Based RSSI Algorithm for Localization in the IoT Era

Author:

Almomani Abdelrahman,Al-Turjman Fadi

Publisher

Springer Nature Switzerland

Reference16 articles.

1. Aernouts, M., BniLam, N., Berkvens, R., & Weyn, M. (2019, November). Simulating a combination of TDoA and AoA localization for LoRaWAN. In International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (pp. 756–765). Springer, Cham.

2. Akhil, K. M., & Sinha, S. (2020, February). Self-localization in large scale wireless sensor network using machine learning. In 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) (pp. 1–5). IEEE.

3. Anusha, P. C., Anand, S., & Sinha, S. (2019). RSSI-based localization system in wireless sensor network. International Journal of Engineering and Advanced Technology (IJEAT), 8(5).‏

4. Bhat, S. J., & Santhosh, K. V. (2022). Localization of isotropic and anisotropic wireless sensor networks in 2D and 3D fields. Telecommunication Systems, 79(2), 309–321.

5. Chuku, N., & Nasipuri, A. (2021). RSSI-Based localization schemes for wireless sensor networks using outlier detection. Journal of Sensor and Actuator Networks, 10(1), 10.

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