Battery-aware localization in wireless networks

An important mechanism to conserve energy and extend the battery life of low-power wireless networks is to increase the sleep-cycle of the nodes. However, increasing sleep-cycles can have unintended consequences on the application performance. Therefore, it is important to understand the impact of various sleep-cycle parameters on the performance of any given application. In this paper, we analyze the relationship between the sleep-cycle period and the accuracy of the localization application. We show that the sleep-cycle period has an exponential relationship with many of the parameters that impact localization accuracy. In general, such relationships lend themselves especially well to energy efficient system-level design of location dependent applications. Finally, to demonstrate the validity of our analysis, using an IEEE 802.11 based localization system, we present a set of experimental results that show the relationships between the sleep-cycle and the measurements accuracies in the localization systems.