Energy saving strategies in WiFi indoor localization

Abstract

Despite extensive research on WiFi indoor localization, very few solutions are widely deployed, largely due to their high energy consumption. In this paper, we propose several energy saving strategies with varying localization accuracy and energy consumption tradeoffs in WiFi indoor localization. Instead of localizing every single device, these strategies exploit short range low-power communication technologies, to localize clusters of mobile devices, via a representative cluster head. We propose various cluster head selection algorithms that offer different trade offs between localization accuracy and power consumption. The outcome of this work provides insights into the effectiveness and cost of a particular strategy depending on the needs of the application requiring varying localization service levels.