Abstract
- Mobile devices can sense different types of radio signals. For example, broadcast signals. These broadcasted signals allow the device to establish a connection to the access point broadcasting it. The received signal strength (RSS) of these signals can be aggregated to form RSS maps. RSS maps show the values of RSSs at different locations. They are useful for several applications such as location fixing, navigation, access control, and evaluating network coverage and performance. In this paper, we propose a method to build RSS maps by crowdsourcing RSS data, GPS locations, from participating mobile devices. The proposed system gives different weights to each data point provided by the participating devices based on the data source's trustworthiness. Our tests showed that the different models of mobile devices return GPS location with different location accuracies. Consequently, when building the RSS maps our algorithm assigns a higher weight to data points coming from devices with higher GPS location accuracy. This allows accommodating a wide range of mobile devices with different capabilities in crowdsourcing applications.