Parking spaces detection in indoor environments based on Zigbee

This paper describes the study about parking spaces detection in indoor environments, implementing a WSN (Wireless Sensor Network) based on Zigbee technology. Our study focuses on the analysis of the received power when a vehicle is parked or not, by monitoring the RSSI (Received Signal Strength Indicator) field defined in the MAC layer as the IEEE 802.15.4 describes. We focus in the analysis of three factors: data processing time, the influence of distance in received power and the attenuation effect in the signal when propagates, which determine the network topology to deploy and the validity of our location model.