Detecting intra-room mobility with signal strength descriptors
Proceedings of the eleventh ACM international symposium on Mobile ad hoc networking and computing
A context-based energy optimization algorithm for periodic localization in smartphones
Proceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
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Boundary detection is a form of location-aware services that aims at detecting targets crossing certain critical regions. Typically, a lower location sampling rate contributes to a lower level of energy consumption but, in the meantime, delays the detection of boundary crossing events. Opting to enable energy-efficient boundary detection services, we propose a mobility-aware mechanism that adapts the location sampling rate to the target mobility. Results from our simulations and live experiments confirm that the proposed adaptive sampling mechanism is effective. In particular, when experimented with realistic errors measured from a live RF-based localization system, the energy consumption can be reduced significantly to 20%.