A three-dimensional positioning system based on RSSI for the wireless sensor network

Abstract

With the popularity of smart phones and the rapid development of wireless communication technologies, people tend to determine their indoor location in the complex indoor environment such as a library, exhibition hall and shopping malls using location-based services. However, in many scenarios, two-dimensional positioning system has been unable to meet the needs. In this paper, we research on the three-dimensional positioning system using location fingerprinting techniques, improve the algorithm based on K Nearest Neighborhood, and establish the three-dimensional positioning system. The results showed that our simulation model can achieve a more accurate result than two-dimensional models.