English

Statistical learning for sensor localization in wireless networks

Machine Learning 2020-05-12 v1 Machine Learning Signal Processing

Abstract

Indoor localization has become an important issue for wireless sensor networks. This paper presents a zoning-based localization technique that uses WiFi signals and works efficiently in indoor environments. The targeted area is composed of several zones, the objective being to determine the zone of the sensor using an observation model based on statistical learning.

Keywords

Cite

@article{arxiv.2005.05097,
  title  = {Statistical learning for sensor localization in wireless networks},
  author = {Daniel Alshamaa and Farah Chehade and Paul Honeine},
  journal= {arXiv preprint arXiv:2005.05097},
  year   = {2020}
}