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原文摘要

Smart home sensing with low-power wireless nodes is non-intrusive but requires battery maintenance and cannot identify residents. A garment with a meander-coil NFC reader solves both, as it powers battery-free tags on the skin and on nearby objects and attributes every reading to its wearer. Because the number of tags in range changes as the user moves, we propose packet interval modulation (PIM), which encodes sensor values into pulse intervals without reader commands. With five tags, PIM reduces the collision rate of slotted ALOHA from 22.7% to 4.1% while delivering 384 bps, enabling resident-attributed ambient sensing.