A real-time indoor localization platform based on wireless sensor networks

Abstract

Instant knowledge of the current position of people and objects has become a concern for most of us. This can be a challenge when the sought object is located inside a building since the Global Positioning System (GPS) may not be helpful in this situation. For this reason many applications are revealed which use new technologies such as Wireless Sensor Networks (WSN). In this paper we present a prototype of an indoor localization platform that is able to provide a Real-Time estimation of target objects using as equipment the WSN and the lateration based on the computation of Received Signal Strength Indicator (RSSI) as a localization technique. With improvements in terms of signal processing we realize an accuracy of 1 m, which is very useful for many fields of applications.