a user location case study using different wireless protocols
User location is a valuable contextual information in context-aware computing systems. These systems need to know the user's current physical location in order to provide relevant services. The location of mobile users can be inferred by measuring the received signal strength. This article presents a specific module of an agent-based framework - the Location Agent Module - which was developed for context-aware applications using the existing wireless network infrastructure: WiFi, Bluetooth and ZigBee. Furthermore, we present a comparison study with a quality of service (QoS) sub-module. The experimental results indicate that the ANN accuracy was 72\%, 63\% and 67\% using WiFi, Bluetooth and ZigBee protocols, respectively. Considering the use of QoS sub-module, we had an increase from 11\% to 21\% in the results with the three protocols, increasing the accuracy to 89\% to WiFi, 74\% to Bluetooth and 88\% to ZigBee. Based on the promising results achieved, we consider our approach adequate for indoor localization.
wireless protocols quality of service artificial neural networks multiagent system indoor user location