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Energy-Efficient Boundary Detection for RF-Based Localization Systems

By Tsung-han Lin, Student Member, Polly Huang, Hao-hua Chu and Chuang-wen You


Abstract—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%. Index Terms—Boundary detection, energy efficiency, indoor localization

Year: 2011
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