论文标题
无线网络中传感器本地化的统计学习
Statistical learning for sensor localization in wireless networks
论文作者
论文摘要
室内本地化已成为无线传感器网络的重要问题。本文提出了一种基于分区的本地化技术，该技术使用WiFi信号并在室内环境中有效工作。目标区域由几个区域组成，目的是使用基于统计学习的观察模型来确定传感器区域。
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.
