An Empirical Study of Trilateration and Clustering for Indoor Localization and Trend Prediction

Aarth Tandel, Anvesh Chennupati, Behnam Dezfouli. An Empirical Study of Trilateration and Clustering for Indoor Localization and Trend Prediction. In Sara Paiva, Sérgio Ivan Lopes, Rafik Zitouni, Nishu Gupta, Sérgio F. Lopes, Takuro Yonezawa, editors, Science and Technologies for Smart Cities - 6th EAI International Conference, SmartCity360° Virtual Event, December 2-4, 2020, Proceedings. Volume 372 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 87-100, Springer, 2020. [doi]

@inproceedings{TandelCD20,
  title = {An Empirical Study of Trilateration and Clustering for Indoor Localization and Trend Prediction},
  author = {Aarth Tandel and Anvesh Chennupati and Behnam Dezfouli},
  year = {2020},
  doi = {10.1007/978-3-030-76063-2_6},
  url = {https://doi.org/10.1007/978-3-030-76063-2_6},
  researchr = {https://researchr.org/publication/TandelCD20},
  cites = {0},
  citedby = {0},
  pages = {87-100},
  booktitle = {Science and Technologies for Smart Cities - 6th EAI International Conference, SmartCity360° Virtual Event, December 2-4, 2020, Proceedings},
  editor = {Sara Paiva and Sérgio Ivan Lopes and Rafik Zitouni and Nishu Gupta and Sérgio F. Lopes and Takuro Yonezawa},
  volume = {372},
  series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
  publisher = {Springer},
  isbn = {978-3-030-76063-2},
}