Using Fuzzy Color Maps to Increase the Positioning Accuracy in Poor Wi-Fi Coverage Regions
Recently, in the context of IEEE 802.11b/g network protocols, Wi-Fi radio channels been proposed to estimate the location of a smart mobile device. The authors can locate Wi-Fi-enabled devices by applying location-sensing techniques. However, the positioning accuracy depends greatly on the Wi-Fi signal coverage. The positioning accuracy due to poor Wi-Fi signal coverage has not been investigated systematically in the current research on Wi-Fi location awareness. Their previous work provide a location threshold of 1.82m on average. However, when a person enters in a poor Wi-Fi coverage region, the positioning accuracy drops dramatically. In this paper, they extend their previous work and create a fuzzy color map to visualize the distribution of Wi-Fi signal: red represents strong signals and blue represents weak signals.