Lin, Tsung-HanTsung-HanLinPOLLY HUANGChu, Hao-HuaHao-HuaChuYou, Chuang-WenChuang-WenYou2018-09-102018-09-10200915361233http://scholars.lib.ntu.edu.tw/handle/123456789/352178Boundary 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 radio-frequency-based localization system, the energy consumption can be reduced significantly to 20 percent. © 2009 IEEE.application/pdf2414106 bytesapplication/pdfBoundary detection; Energy efficiency; Indoor localization[SDGs]SDG7Digital signal processing; Energy efficiency; Adaptive samplings; Boundary crossings; Boundary detection; Boundary detections; Critical regions; Detecting targets; Energy consumptions; Energy-efficient; Indoor localization; Localization systems; Location-aware services; Sampling rates; Image segmentationjournal article10.1109/TMC.2008.842-s2.0-56949099589WOS:000260889600003