A detection device uses a stored communication profile to assign predetermined transmission times, reducing data collisions in uncoordinated IoT networks.
Segmenting reading areas with multiple antennas resolves the contradiction between high throughput and accurate tag identification.
A cloud-based data processing system manages metering information from transformer monitoring devices in smart grid networks.
Position sensing in a reception unit filters consumable data by location, reducing unnecessary communication energy waste.
Thermal diffusers transfer heat from bee activity to sensors between frames, resolving the trade-off between measurement precision and device complexity.
Cloud-based remote diagnostics for flame detectors utilize the fire replay technique to analyze ambient event data and automatically correct device errors.
Hybrid energy harvesting extends operational duration for implanted devices while enabling real-time wireless data retrieval.
Multiple RFID readers each use one antenna for transmit and receive functions, eliminating complex isolation requirements while maintaining 20-meter range.
Motion sensors capture animal movement data to identify activities like eating or urinating, replacing manual observation with automated health assessment.
A signal processing module selects abnormal data signals from a complete set for transmission.
Replacing gyroscopic sensors with dual accelerometers reduces energy consumption while maintaining precise orientation measurement for behavior tracking.
Segmented microcontrollers in a radio enabled label handle parallel protocol tasks, eliminating external device requirements for provisioning.
Dynamic signal matching module compensates for electrode impedance differences to enable accurate physiological signal acquisition.